Update requirements.txt
Browse files- requirements.txt +11 -780
requirements.txt
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alembic==1.9.4
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| 13 |
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altair==4.2.2
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| 14 |
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annoy==1.17.1
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| 15 |
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ansiwrap==0.8.4
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| 16 |
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anyio @ file:///home/conda/feedstock_root/build_artifacts/anyio_1666191106763/work/dist
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| 17 |
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apache-beam==2.44.0
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| 18 |
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aplus==0.11.0
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| 19 |
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appdirs==1.4.4
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| 20 |
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argon2-cffi @ file:///home/conda/feedstock_root/build_artifacts/argon2-cffi_1640817743617/work
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| 21 |
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argon2-cffi-bindings @ file:///home/conda/feedstock_root/build_artifacts/argon2-cffi-bindings_1649500320262/work
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| 22 |
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arrow==1.2.3
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arviz==0.12.1
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astroid==2.14.2
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astropy==4.3.1
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astunparse==1.6.3
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| 27 |
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async-timeout @ file:///home/conda/feedstock_root/build_artifacts/async-timeout_1640026696943/work
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asynctest==0.13.0
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atpublic==2.3
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attrs @ file:///home/conda/feedstock_root/build_artifacts/attrs_1671632566681/work
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audioread==3.0.0
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autocfg==0.0.8
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| 33 |
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autopep8==1.6.0
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| 34 |
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aws-requests-auth==0.4.3
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| 35 |
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Babel==2.11.0
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| 36 |
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backcall @ file:///home/conda/feedstock_root/build_artifacts/backcall_1592338393461/work
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| 37 |
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backoff==1.10.0
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| 38 |
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backports.functools-lru-cache @ file:///home/conda/feedstock_root/build_artifacts/backports.functools_lru_cache_1618230623929/work
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| 39 |
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backports.zoneinfo==0.2.1
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| 40 |
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bayesian-optimization==1.4.2
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| 41 |
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bayespy==0.5.25
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| 42 |
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beatrix-jupyterlab @ file:///home/kbuilder/miniconda3/conda-bld/dlenv-tf-2-11-cpu_1674530713176/work/beatrix_jupyterlab-2023.123.173907.tar.gz
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| 43 |
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beautifulsoup4 @ file:///home/conda/feedstock_root/build_artifacts/beautifulsoup4_1649463573192/work
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| 44 |
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bidict==0.22.1
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biopython==1.81
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blake3==0.2.1
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bleach==6.0.0
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blessed==1.19.1
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blis==0.7.9
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bokeh==2.4.3
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Boruta==0.3
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boto3==1.26.77
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botocore==1.27.59
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-e git+https://github.com/SohierDane/BigQuery_Helper@8615a7f6c1663e7f2d48aa2b32c2dbcb600a440f#egg=bq_helper
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bqplot==0.12.36
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branca==0.6.0
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brewer2mpl==1.4.1
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brotlipy==0.7.0
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| 59 |
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cached-property==1.5.2
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cachetools==4.2.4
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| 61 |
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Cartopy @ file:///home/conda/feedstock_root/build_artifacts/cartopy_1630680835556/work
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| 62 |
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catalogue==2.0.8
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catalyst==22.4
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catboost==1.1.1
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category-encoders==2.6.0
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certifi==2022.12.7
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cesium==0.10.1
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cffi @ file:///home/conda/feedstock_root/build_artifacts/cffi_1666183775483/work
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cftime==1.6.2
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charset-normalizer @ file:///home/conda/feedstock_root/build_artifacts/charset-normalizer_1661170624537/work
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chex==0.1.5
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cleverhans==4.0.0
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click==8.1.3
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click-plugins==1.1.1
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cligj==0.7.2
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cloud-tpu-client==0.10
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cloud-tpu-profiler==2.4.0
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cloudpickle==2.2.1
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cmaes==0.9.1
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cmake==3.25.0
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cmdstanpy==1.1.0
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cmudict==1.0.13
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colorama==0.4.6
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colorcet==3.0.1
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colorful==0.5.5
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colorlog==6.7.0
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colorlover==0.3.0
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| 88 |
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conda==22.9.0
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conda-content-trust @ file:///tmp/build/80754af9/conda-content-trust_1617045594566/work
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| 90 |
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conda-package-handling @ file:///home/conda/feedstock_root/build_artifacts/conda-package-handling_1669907009957/work
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| 91 |
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conda_package_streaming @ file:///home/conda/feedstock_root/build_artifacts/conda-package-streaming_1669733752472/work
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confection==0.0.4
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contextily==1.3.0
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convertdate==2.4.0
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crcmod==1.7
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cryptography @ file:///home/conda/feedstock_root/build_artifacts/cryptography_1666563349571/work
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cufflinks==0.17.3
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CVXcanon==0.1.2
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cycler @ file:///home/conda/feedstock_root/build_artifacts/cycler_1635519461629/work
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cymem==2.0.7
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cysignals==1.11.2
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Cython==0.29.33
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cytoolz==0.12.1
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daal==2021.6.0
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daal4py==2021.6.3
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dask==2022.2.0
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datasets==2.1.0
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datashader==0.14.4
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datashape==0.5.2
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datatable==1.0.0
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datatile==1.0.3
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db-dtypes==1.0.5
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deap==1.3.3
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debugpy==1.6.6
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decorator @ file:///home/conda/feedstock_root/build_artifacts/decorator_1641555617451/work
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defusedxml @ file:///home/conda/feedstock_root/build_artifacts/defusedxml_1615232257335/work
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Delorean==1.0.0
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deprecat==2.1.1
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deprecation==2.1.0
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descartes==1.1.0
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dill==0.3.6
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dipy==1.6.0
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distlib==0.3.6
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distributed==2022.2.0
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dm-tree==0.1.8
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docker==6.0.1
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docker-pycreds==0.4.0
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docopt==0.6.2
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docstring-to-markdown==0.11
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docutils==0.19
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earthengine-api==0.1.342
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easydict==1.10
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easyocr==1.6.2
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ecos==2.0.12
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eli5==0.13.0
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emoji==2.2.0
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en-core-web-lg @ https://github.com/explosion/spacy-models/releases/download/en_core_web_lg-3.5.0/en_core_web_lg-3.5.0-py3-none-any.whl
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en-core-web-sm @ https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.5.0/en_core_web_sm-3.5.0-py3-none-any.whl
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entrypoints @ file:///home/conda/feedstock_root/build_artifacts/entrypoints_1643888246732/work
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ephem==4.1.4
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esda==2.4.3
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essentia==2.1b6.dev858
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et-xmlfile==1.1.0
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etils==0.9.0
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exceptiongroup==1.1.0
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explainable-ai-sdk==1.3.3
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explainers @ https://storage.googleapis.com/explainability_sdk_wheel/explainers-1-cp37-cp37m-linux_x86_64.whl
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fastai==2.7.11
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fastapi==0.89.1
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fastavro==1.7.0
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fastcore==1.5.28
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fastdownload==0.0.7
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fasteners==0.18
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fastjsonschema @ file:///home/conda/feedstock_root/build_artifacts/python-fastjsonschema_1663619548554/work/dist
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fastprogress==1.0.3
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fasttext==0.9.2
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fbpca==1.0
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feather-format==0.4.1
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featuretools==1.11.1
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filelock==3.9.0
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Fiona==1.8.22
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fitter==1.5.2
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flake8==5.0.4
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flashtext==2.7
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Flask==2.2.3
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flatbuffers==23.1.21
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flax==0.6.4
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flit_core @ file:///home/conda/feedstock_root/build_artifacts/flit-core_1667734568827/work/source/flit_core
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folium==0.14.0
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fonttools @ file:///home/conda/feedstock_root/build_artifacts/fonttools_1666389892786/work
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frozendict==2.3.5
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frozenlist==1.3.3
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fsspec==2023.1.0
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funcy==1.18
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fury==0.8.0
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future==0.18.3
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fuzzywuzzy==0.18.0
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gast==0.4.0
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gatspy==0.3
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gcsfs==2023.1.0
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gensim==4.0.1
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geographiclib==2.0
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Geohash==1.0
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geojson==3.0.1
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geopandas==0.10.2
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geoplot==0.5.1
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geopy==2.3.0
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geoviews==1.9.6
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ggplot @ https://github.com/hbasria/ggpy/archive/0.11.5.zip
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giddy==2.3.3
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gitdb==4.0.10
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GitPython==3.1.30
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gluoncv==0.10.5.post0
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gluonnlp==0.10.0
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google-api-core==1.34.0
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google-api-python-client==2.79.0
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google-apitools==0.5.31
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google-auth==1.35.0
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google-auth-httplib2==0.1.0
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google-auth-oauthlib==0.4.6
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google-cloud-aiplatform @ git+https://github.com/googleapis/python-aiplatform.git@4ed7a50fef58d694ddb29d4240965d44e383da2b
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google-cloud-automl==1.0.1
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google-cloud-bigquery==2.2.0
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google-cloud-bigtable==1.7.3
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google-cloud-core==1.7.3
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google-cloud-datastore==1.15.5
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google-cloud-dlp==3.11.1
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google-cloud-language==2.6.1
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google-cloud-monitoring==2.14.1
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google-cloud-pubsub==2.14.0
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google-cloud-pubsublite==1.6.0
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google-cloud-recommendations-ai==0.7.1
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google-cloud-resource-manager==1.8.1
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google-cloud-spanner==3.27.0
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google-cloud-storage==1.44.0
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google-cloud-translate==3.8.4
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google-cloud-videointelligence==2.8.3
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google-cloud-vision==2.8.0
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google-crc32c==1.5.0
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| 220 |
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google-pasta==0.2.0
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google-resumable-media==1.3.3
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googleapis-common-protos==1.58.0
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gplearn==0.4.2
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| 224 |
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gpustat==1.0.0
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gpxpy==1.5.0
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graphviz==0.8.4
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| 227 |
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greenlet==2.0.1
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grpc-google-iam-v1==0.12.6
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grpcio==1.51.1
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grpcio-status==1.48.2
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| 231 |
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gviz-api==1.10.0
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gym==0.23.1
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gym-notices==0.0.8
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| 234 |
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h11==0.14.0
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h2o==3.40.0.1
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| 236 |
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h5py==3.8.0
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| 237 |
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haversine==2.7.0
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| 238 |
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hdfs==2.7.0
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| 239 |
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HeapDict==1.0.1
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| 240 |
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hep-ml==0.7.1
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| 241 |
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hijri-converter==2.2.4
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| 242 |
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hmmlearn==0.2.8
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| 243 |
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holidays==0.19
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| 244 |
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holoviews==1.15.4
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| 245 |
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hpsklearn==0.1.0
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| 246 |
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html5lib==1.1
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| 247 |
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htmlmin==0.1.12
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| 248 |
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httplib2==0.20.4
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| 249 |
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httptools==0.5.0
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| 250 |
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huggingface-hub==0.12.1
|
| 251 |
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humanize==4.6.0
|
| 252 |
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hunspell==0.5.5
|
| 253 |
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husl==4.0.3
|
| 254 |
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hydra-slayer==0.4.0
|
| 255 |
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hyperopt==0.2.7
|
| 256 |
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hypertools==0.8.0
|
| 257 |
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ibis-framework==2.1.1
|
| 258 |
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idna @ file:///home/conda/feedstock_root/build_artifacts/idna_1663625384323/work
|
| 259 |
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igraph==0.10.4
|
| 260 |
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imagecodecs==2021.11.20
|
| 261 |
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ImageHash==4.3.1
|
| 262 |
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imageio==2.25.0
|
| 263 |
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imbalanced-learn==0.10.1
|
| 264 |
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imgaug==0.4.0
|
| 265 |
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implicit @ file:///home/conda/feedstock_root/build_artifacts/implicit_1643471602441/work
|
| 266 |
-
importlib-metadata @ file:///home/conda/feedstock_root/build_artifacts/importlib-metadata_1653252814274/work
|
| 267 |
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importlib-resources @ file:///home/conda/feedstock_root/build_artifacts/importlib_resources_1672681417544/work
|
| 268 |
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inequality==1.0.0
|
| 269 |
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iniconfig==2.0.0
|
| 270 |
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ipydatawidgets==4.3.3
|
| 271 |
-
ipykernel @ file:///home/conda/feedstock_root/build_artifacts/ipykernel_1666723258080/work
|
| 272 |
-
ipyleaflet==0.17.2
|
| 273 |
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ipympl==0.7.0
|
| 274 |
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ipython==7.34.0
|
| 275 |
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ipython-genutils==0.2.0
|
| 276 |
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ipython-sql==0.4.1
|
| 277 |
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ipyvolume==0.6.0
|
| 278 |
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ipyvue==1.8.0
|
| 279 |
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ipyvuetify==1.8.4
|
| 280 |
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ipywebrtc==0.6.0
|
| 281 |
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ipywidgets==7.7.1
|
| 282 |
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isort==5.11.5
|
| 283 |
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isoweek==1.3.3
|
| 284 |
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itsdangerous==2.1.2
|
| 285 |
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Janome==0.4.2
|
| 286 |
-
jax==0.3.25
|
| 287 |
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jaxlib==0.3.25
|
| 288 |
-
jedi @ file:///home/conda/feedstock_root/build_artifacts/jedi_1669134318875/work
|
| 289 |
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jieba==0.42.1
|
| 290 |
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Jinja2 @ file:///home/conda/feedstock_root/build_artifacts/jinja2_1654302431367/work
|
| 291 |
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jmespath==1.0.1
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| 292 |
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joblib==1.2.0
|
| 293 |
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json5==0.9.11
|
| 294 |
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jsonlines==1.2.0
|
| 295 |
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jsonschema @ file:///home/conda/feedstock_root/build_artifacts/jsonschema-meta_1669810440410/work
|
| 296 |
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jupyter-console==6.6.1
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| 297 |
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jupyter-http-over-ws==0.0.8
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| 298 |
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jupyter-lsp==1.5.1
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| 299 |
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jupyter-server==1.23.5
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| 300 |
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jupyter-server-mathjax==0.2.6
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| 301 |
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jupyter-server-proxy==3.2.2
|
| 302 |
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jupyter_client @ file:///home/conda/feedstock_root/build_artifacts/jupyter_client_1673615989977/work
|
| 303 |
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jupyter_core==4.12.0
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| 304 |
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jupyterlab==3.4.8
|
| 305 |
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jupyterlab-git==0.41.0
|
| 306 |
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jupyterlab-lsp==3.10.2
|
| 307 |
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jupyterlab-pygments @ file:///home/conda/feedstock_root/build_artifacts/jupyterlab_pygments_1649936611996/work
|
| 308 |
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jupyterlab-widgets==3.0.5
|
| 309 |
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jupyterlab_server==2.15.2
|
| 310 |
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jupytext==1.14.4
|
| 311 |
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kaggle==1.5.12
|
| 312 |
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kaggle-environments==1.12.0
|
| 313 |
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keras==2.11.0
|
| 314 |
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keras-tuner==1.1.3
|
| 315 |
-
kiwisolver @ file:///home/conda/feedstock_root/build_artifacts/kiwisolver_1657953088445/work
|
| 316 |
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kmapper==2.0.1
|
| 317 |
-
kmodes==0.12.2
|
| 318 |
-
korean-lunar-calendar==0.3.1
|
| 319 |
-
kornia==0.5.8
|
| 320 |
-
kt-legacy==1.0.4
|
| 321 |
-
kubernetes==25.3.0
|
| 322 |
-
langcodes==3.3.0
|
| 323 |
-
langid==1.1.6
|
| 324 |
-
lazy-object-proxy==1.9.0
|
| 325 |
-
lazy_loader==0.1
|
| 326 |
-
learntools @ git+https://github.com/Kaggle/learntools@dd9a7f6495abbba9c7987c16365c8785fb646125
|
| 327 |
-
leven==1.0.4
|
| 328 |
-
Levenshtein==0.20.9
|
| 329 |
-
libclang==15.0.6.1
|
| 330 |
-
libmambapy @ file:///home/conda/feedstock_root/build_artifacts/mamba-split_1664905016189/work/libmambapy
|
| 331 |
-
libpysal==4.7.0
|
| 332 |
-
librosa==0.10.0
|
| 333 |
-
lightfm==1.16
|
| 334 |
-
lightgbm==3.3.2
|
| 335 |
-
lightning-utilities==0.7.1
|
| 336 |
-
lime==0.2.0.1
|
| 337 |
-
line-profiler==4.0.2
|
| 338 |
-
llvmlite==0.39.1
|
| 339 |
-
lml==0.1.0
|
| 340 |
-
locket==1.0.0
|
| 341 |
-
LunarCalendar==0.0.9
|
| 342 |
-
lxml==4.9.2
|
| 343 |
-
lz4==4.3.2
|
| 344 |
-
Mako==1.2.4
|
| 345 |
-
mamba @ file:///home/conda/feedstock_root/build_artifacts/mamba-split_1664905016189/work/mamba
|
| 346 |
-
mapclassify==2.5.0
|
| 347 |
-
marisa-trie==0.7.8
|
| 348 |
-
Markdown==3.4.1
|
| 349 |
-
markdown-it-py==2.1.0
|
| 350 |
-
markovify==0.9.4
|
| 351 |
-
MarkupSafe @ file:///home/conda/feedstock_root/build_artifacts/markupsafe_1648737551960/work
|
| 352 |
-
matplotlib @ file:///home/conda/feedstock_root/build_artifacts/matplotlib-suite_1661439848456/work
|
| 353 |
-
matplotlib-inline @ file:///home/conda/feedstock_root/build_artifacts/matplotlib-inline_1660814786464/work
|
| 354 |
-
matplotlib-venn==0.11.7
|
| 355 |
-
matrixprofile @ git+https://github.com/matrix-profile-foundation/matrixprofile.git@6bea7d4445284dbd9700a097974ef6d4613fbca7
|
| 356 |
-
mccabe==0.7.0
|
| 357 |
-
mdit-py-plugins==0.3.3
|
| 358 |
-
mdurl==0.1.2
|
| 359 |
-
memory-profiler==0.61.0
|
| 360 |
-
mercantile==1.2.1
|
| 361 |
-
mgwr==2.1.2
|
| 362 |
-
missingno==0.5.1
|
| 363 |
-
mistune @ file:///home/conda/feedstock_root/build_artifacts/mistune_1657892024508/work
|
| 364 |
-
mizani==0.7.3
|
| 365 |
-
mlcrate==0.2.0
|
| 366 |
-
mlens==0.2.3
|
| 367 |
-
mlxtend==0.21.0
|
| 368 |
-
mmh3==3.0.0
|
| 369 |
-
mne==1.3.0
|
| 370 |
-
mnist==0.2.2
|
| 371 |
-
mock==5.0.1
|
| 372 |
-
momepy==0.5.4
|
| 373 |
-
mpld3==0.5.9
|
| 374 |
-
mpmath==1.2.1
|
| 375 |
-
msgpack==1.0.4
|
| 376 |
-
msgpack-numpy==0.4.8
|
| 377 |
-
multidict==6.0.4
|
| 378 |
-
multimethod==1.9.1
|
| 379 |
-
multipledispatch==0.6.0
|
| 380 |
-
multiprocess==0.70.14
|
| 381 |
-
munch==2.5.0
|
| 382 |
-
munkres==1.1.4
|
| 383 |
-
murmurhash==1.0.9
|
| 384 |
-
mxnet==1.9.1
|
| 385 |
-
nb-conda @ file:///home/conda/feedstock_root/build_artifacts/nb_conda_1654442778977/work
|
| 386 |
-
nb-conda-kernels @ file:///home/conda/feedstock_root/build_artifacts/nb_conda_kernels_1636999991206/work
|
| 387 |
-
nbclassic @ file:///home/conda/feedstock_root/build_artifacts/nbclassic_1667492839781/work
|
| 388 |
-
nbclient==0.7.2
|
| 389 |
-
nbconvert @ file:///home/conda/feedstock_root/build_artifacts/nbconvert-meta_1673893169158/work
|
| 390 |
-
nbdime==3.1.1
|
| 391 |
-
nbformat @ file:///home/conda/feedstock_root/build_artifacts/nbformat_1673560067442/work
|
| 392 |
-
nest-asyncio @ file:///home/conda/feedstock_root/build_artifacts/nest-asyncio_1664684991461/work
|
| 393 |
-
netCDF4==1.6.2
|
| 394 |
-
networkx==2.6.3
|
| 395 |
-
nibabel==4.0.2
|
| 396 |
-
nilearn==0.10.0
|
| 397 |
-
ninja==1.11.1
|
| 398 |
-
nltk==3.2.4
|
| 399 |
-
nose==1.3.7
|
| 400 |
-
notebook @ file:///home/conda/feedstock_root/build_artifacts/notebook_1667565639349/work
|
| 401 |
-
notebook-executor @ file:///home/kbuilder/miniconda3/conda-bld/dlenv-tf-2-11-cpu_1674530713176/work/packages/notebook_executor
|
| 402 |
-
notebook_shim @ file:///home/conda/feedstock_root/build_artifacts/notebook-shim_1667478401171/work
|
| 403 |
-
numba==0.56.4
|
| 404 |
-
numexpr==2.8.4
|
| 405 |
-
numpy @ file:///home/conda/feedstock_root/build_artifacts/numpy_1649806299270/work
|
| 406 |
-
nvidia-ml-py==11.495.46
|
| 407 |
-
oauth2client==4.1.3
|
| 408 |
-
oauthlib==3.2.2
|
| 409 |
-
objsize==0.6.1
|
| 410 |
-
odfpy==1.4.1
|
| 411 |
-
olefile==0.46
|
| 412 |
-
onnx==1.13.1
|
| 413 |
-
opencensus==0.11.1
|
| 414 |
-
opencensus-context==0.1.3
|
| 415 |
-
opencv-contrib-python==4.5.4.60
|
| 416 |
-
opencv-python==4.5.4.60
|
| 417 |
-
opencv-python-headless==4.5.4.60
|
| 418 |
-
openpyxl==3.1.1
|
| 419 |
-
openslide-python==1.2.0
|
| 420 |
-
opentelemetry-api==1.1.0
|
| 421 |
-
opentelemetry-exporter-otlp==1.1.0
|
| 422 |
-
opentelemetry-exporter-otlp-proto-grpc==1.1.0
|
| 423 |
-
opentelemetry-proto==1.1.0
|
| 424 |
-
opentelemetry-sdk==1.1.0
|
| 425 |
-
opentelemetry-semantic-conventions==0.20b0
|
| 426 |
-
opt-einsum==3.3.0
|
| 427 |
-
optax==0.1.4
|
| 428 |
-
optuna==3.1.0
|
| 429 |
-
orbax==0.1.0
|
| 430 |
-
orderedmultidict==1.0.1
|
| 431 |
-
orjson==3.8.5
|
| 432 |
-
ortools==9.4.1874
|
| 433 |
-
osmnx==1.1.1
|
| 434 |
-
overrides==6.5.0
|
| 435 |
-
packaging @ file:///home/conda/feedstock_root/build_artifacts/packaging_1673482170163/work
|
| 436 |
-
palettable==3.3.0
|
| 437 |
-
pandarallel==1.6.4
|
| 438 |
-
pandas==1.3.5
|
| 439 |
-
pandas-datareader==0.10.0
|
| 440 |
-
pandas-profiling==3.6.2
|
| 441 |
-
pandas-summary==0.2.0
|
| 442 |
-
pandasql==0.7.3
|
| 443 |
-
pandocfilters @ file:///home/conda/feedstock_root/build_artifacts/pandocfilters_1631603243851/work
|
| 444 |
-
panel==0.14.3
|
| 445 |
-
papermill==2.4.0
|
| 446 |
-
param==1.12.3
|
| 447 |
-
parso @ file:///home/conda/feedstock_root/build_artifacts/parso_1638334955874/work
|
| 448 |
-
parsy==1.4.0
|
| 449 |
-
partd==1.3.0
|
| 450 |
-
path==16.6.0
|
| 451 |
-
path.py==12.5.0
|
| 452 |
-
pathos==0.3.0
|
| 453 |
-
pathtools==0.1.2
|
| 454 |
-
pathy==0.10.1
|
| 455 |
-
patsy==0.5.3
|
| 456 |
-
pdf2image==1.16.2
|
| 457 |
-
pexpect @ file:///home/conda/feedstock_root/build_artifacts/pexpect_1667297516076/work
|
| 458 |
-
phik==0.12.3
|
| 459 |
-
pickleshare @ file:///home/conda/feedstock_root/build_artifacts/pickleshare_1602536217715/work
|
| 460 |
-
Pillow==9.4.0
|
| 461 |
-
pkgutil_resolve_name @ file:///home/conda/feedstock_root/build_artifacts/pkgutil-resolve-name_1633981968097/work
|
| 462 |
-
platformdirs==2.6.2
|
| 463 |
-
plotly==5.13.0
|
| 464 |
-
plotly-express==0.4.1
|
| 465 |
-
plotnine==0.8.0
|
| 466 |
-
pluggy==1.0.0
|
| 467 |
-
pointpats==2.2.0
|
| 468 |
-
polars==0.16.8
|
| 469 |
-
polyglot==16.7.4
|
| 470 |
-
pooch==1.6.0
|
| 471 |
-
portalocker==2.7.0
|
| 472 |
-
pox==0.3.2
|
| 473 |
-
ppca==0.0.4
|
| 474 |
-
ppft==1.7.6.6
|
| 475 |
-
preprocessing==0.1.13
|
| 476 |
-
preshed==3.0.8
|
| 477 |
-
prettytable==0.7.2
|
| 478 |
-
progressbar2==4.2.0
|
| 479 |
-
prometheus-client @ file:///home/conda/feedstock_root/build_artifacts/prometheus_client_1665692535292/work
|
| 480 |
-
promise==2.3
|
| 481 |
-
prompt-toolkit @ file:///home/conda/feedstock_root/build_artifacts/prompt-toolkit_1670414775770/work
|
| 482 |
-
pronouncing==0.2.0
|
| 483 |
-
prophet==1.1.1
|
| 484 |
-
proto-plus==1.22.2
|
| 485 |
-
protobuf==3.20.3
|
| 486 |
-
psutil @ file:///home/conda/feedstock_root/build_artifacts/psutil_1666155398032/work
|
| 487 |
-
ptyprocess @ file:///home/conda/feedstock_root/build_artifacts/ptyprocess_1609419310487/work/dist/ptyprocess-0.7.0-py2.py3-none-any.whl
|
| 488 |
-
pudb==2022.1.3
|
| 489 |
-
PuLP==2.7.0
|
| 490 |
-
py-lz4framed==0.14.0
|
| 491 |
-
py-spy==0.3.14
|
| 492 |
-
py-stringmatching==0.4.2
|
| 493 |
-
py-stringsimjoin==0.3.2
|
| 494 |
-
py4j==0.10.9.7
|
| 495 |
-
pyaml==21.10.1
|
| 496 |
-
PyArabic==0.6.15
|
| 497 |
-
pyarrow==6.0.1
|
| 498 |
-
pyasn1==0.4.8
|
| 499 |
-
pyasn1-modules==0.2.8
|
| 500 |
-
PyAstronomy==0.18.1
|
| 501 |
-
pybind11==2.10.3
|
| 502 |
-
pyclipper==1.3.0.post4
|
| 503 |
-
pycodestyle==2.9.1
|
| 504 |
-
pycolmap==0.3.0
|
| 505 |
-
pycosat @ file:///home/conda/feedstock_root/build_artifacts/pycosat_1666656960991/work
|
| 506 |
-
pycparser @ file:///tmp/build/80754af9/pycparser_1636541352034/work
|
| 507 |
-
pycryptodome==3.17
|
| 508 |
-
pyct==0.5.0
|
| 509 |
-
pydantic==1.10.4
|
| 510 |
-
pydegensac==0.1.2
|
| 511 |
-
pydicom==2.3.1
|
| 512 |
-
pydocstyle==6.2.3
|
| 513 |
-
pydot==1.4.2
|
| 514 |
-
pydub==0.25.1
|
| 515 |
-
pyemd==0.5.1
|
| 516 |
-
pyerfa==2.0.0.1
|
| 517 |
-
pyexcel-io==0.6.6
|
| 518 |
-
pyexcel-ods==0.6.0
|
| 519 |
-
pyfasttext==0.4.6
|
| 520 |
-
pyflakes==2.5.0
|
| 521 |
-
pygeos==0.14
|
| 522 |
-
Pygments @ file:///home/conda/feedstock_root/build_artifacts/pygments_1672682006896/work
|
| 523 |
-
PyJWT==2.6.0
|
| 524 |
-
pykalman==0.9.5
|
| 525 |
-
pyLDAvis==3.2.2
|
| 526 |
-
pylint==2.16.2
|
| 527 |
-
pymc3==3.11.5
|
| 528 |
-
PyMeeus==0.5.12
|
| 529 |
-
pymongo==3.13.0
|
| 530 |
-
Pympler==1.0.1
|
| 531 |
-
pynndescent==0.5.8
|
| 532 |
-
pyocr==0.8.3
|
| 533 |
-
pyOpenSSL @ file:///home/conda/feedstock_root/build_artifacts/pyopenssl_1672659226110/work
|
| 534 |
-
pyparsing @ file:///home/conda/feedstock_root/build_artifacts/pyparsing_1652235407899/work
|
| 535 |
-
pypdf==3.4.1
|
| 536 |
-
PyPrind==2.11.3
|
| 537 |
-
pyproj @ file:///home/conda/feedstock_root/build_artifacts/pyproj_1623801868210/work
|
| 538 |
-
pyrsistent==0.19.3
|
| 539 |
-
pysal==2.6.0
|
| 540 |
-
pyshp @ file:///home/conda/feedstock_root/build_artifacts/pyshp_1659002966020/work
|
| 541 |
-
PySocks @ file:///tmp/build/80754af9/pysocks_1594394576006/work
|
| 542 |
-
pytesseract==0.3.10
|
| 543 |
-
pytest==7.2.1
|
| 544 |
-
python-bidi==0.4.2
|
| 545 |
-
python-dateutil @ file:///home/conda/feedstock_root/build_artifacts/python-dateutil_1626286286081/work
|
| 546 |
-
python-dotenv==0.21.1
|
| 547 |
-
python-igraph==0.10.4
|
| 548 |
-
python-Levenshtein==0.20.9
|
| 549 |
-
python-louvain==0.16
|
| 550 |
-
python-lsp-jsonrpc==1.0.0
|
| 551 |
-
python-lsp-server==1.7.1
|
| 552 |
-
python-slugify==8.0.0
|
| 553 |
-
python-utils==3.5.2
|
| 554 |
-
pythreejs==2.4.2
|
| 555 |
-
pytoolconfig==1.2.5
|
| 556 |
-
pytorch-ignite==0.4.11
|
| 557 |
-
pytorch-lightning==1.9.3
|
| 558 |
-
pytz==2022.7.1
|
| 559 |
-
pytz-deprecation-shim==0.1.0.post0
|
| 560 |
-
pyu2f @ file:///home/conda/feedstock_root/build_artifacts/pyu2f_1604248910016/work
|
| 561 |
-
PyUpSet==0.1.1.post7
|
| 562 |
-
pyviz-comms==2.2.1
|
| 563 |
-
PyWavelets==1.3.0
|
| 564 |
-
PyYAML==6.0
|
| 565 |
-
pyzmq==25.0.0
|
| 566 |
-
qgrid==1.3.1
|
| 567 |
-
qtconsole==5.4.0
|
| 568 |
-
QtPy==2.3.0
|
| 569 |
-
quantecon==0.6.0
|
| 570 |
-
quantities==0.13.0
|
| 571 |
-
qudida==0.0.4
|
| 572 |
-
quilt3==5.1.1
|
| 573 |
-
randomgen==1.23.1
|
| 574 |
-
rapidfuzz==2.13.7
|
| 575 |
-
rasterio==1.2.10
|
| 576 |
-
rasterstats==0.18.0
|
| 577 |
-
ray==2.2.0
|
| 578 |
-
ray-cpp==2.2.0
|
| 579 |
-
regex==2021.11.10
|
| 580 |
-
requests @ file:///home/conda/feedstock_root/build_artifacts/requests_1673863902341/work
|
| 581 |
-
requests-futures==1.0.0
|
| 582 |
-
requests-oauthlib==1.3.1
|
| 583 |
-
responses==0.18.0
|
| 584 |
-
retrying==1.3.4
|
| 585 |
-
rgf-python==3.12.0
|
| 586 |
-
rich==13.2.0
|
| 587 |
-
rope==1.7.0
|
| 588 |
-
rsa @ file:///home/conda/feedstock_root/build_artifacts/rsa_1658328885051/work
|
| 589 |
-
Rtree==1.0.1
|
| 590 |
-
ruamel-yaml-conda @ file:///tmp/build/80754af9/ruamel_yaml_1616016701961/work
|
| 591 |
-
rvlib==0.0.6
|
| 592 |
-
s2sphere==0.2.5
|
| 593 |
-
s3fs==2023.1.0
|
| 594 |
-
s3transfer==0.6.0
|
| 595 |
-
scattertext==0.1.12
|
| 596 |
-
scikit-image==0.19.3
|
| 597 |
-
scikit-learn==1.0.2
|
| 598 |
-
scikit-learn-intelex==2021.6.3
|
| 599 |
-
scikit-multilearn==0.2.0
|
| 600 |
-
scikit-optimize==0.9.0
|
| 601 |
-
scikit-plot==0.3.7
|
| 602 |
-
scikit-surprise==1.1.1
|
| 603 |
-
scipy @ file:///home/conda/feedstock_root/build_artifacts/scipy_1637806658031/work
|
| 604 |
-
seaborn==0.12.2
|
| 605 |
-
segregation==2.3.1
|
| 606 |
-
semver==2.13.0
|
| 607 |
-
Send2Trash @ file:///home/conda/feedstock_root/build_artifacts/send2trash_1628511208346/work
|
| 608 |
-
sentencepiece==0.1.97
|
| 609 |
-
sentry-sdk==1.15.0
|
| 610 |
-
setproctitle==1.3.2
|
| 611 |
-
setuptools-git==1.2
|
| 612 |
-
shap==0.41.0
|
| 613 |
-
Shapely @ file:///home/conda/feedstock_root/build_artifacts/shapely_1635194349843/work
|
| 614 |
-
simpervisor==0.4
|
| 615 |
-
SimpleITK==2.2.1
|
| 616 |
-
simplejson==3.18.3
|
| 617 |
-
six @ file:///tmp/build/80754af9/six_1644875935023/work
|
| 618 |
-
sklearn-contrib-py-earth @ git+https://github.com/scikit-learn-contrib/py-earth.git@dde5f899255411a7b9cbbabf93a817eff4b02e5e
|
| 619 |
-
sklearn-pandas==2.2.0
|
| 620 |
-
slicer==0.0.7
|
| 621 |
-
smart-open==6.3.0
|
| 622 |
-
smhasher==0.150.1
|
| 623 |
-
smmap==5.0.0
|
| 624 |
-
sniffio @ file:///home/conda/feedstock_root/build_artifacts/sniffio_1662051266223/work
|
| 625 |
-
snowballstemmer==2.2.0
|
| 626 |
-
snuggs==1.4.7
|
| 627 |
-
sortedcontainers==2.4.0
|
| 628 |
-
soundfile==0.11.0
|
| 629 |
-
soupsieve @ file:///home/conda/feedstock_root/build_artifacts/soupsieve_1658207591808/work
|
| 630 |
-
soxr==0.3.3
|
| 631 |
-
spacy==3.5.0
|
| 632 |
-
spacy-legacy==3.0.12
|
| 633 |
-
spacy-loggers==1.0.4
|
| 634 |
-
spaghetti==1.6.5
|
| 635 |
-
spectral==0.23.1
|
| 636 |
-
spglm==1.0.8
|
| 637 |
-
sphinx-rtd-theme==0.2.4
|
| 638 |
-
spint==1.0.7
|
| 639 |
-
splot==1.1.5.post1
|
| 640 |
-
spopt==0.4.1
|
| 641 |
-
spreg==1.3.0
|
| 642 |
-
spvcm==0.3.0
|
| 643 |
-
SQLAlchemy==1.4.46
|
| 644 |
-
sqlparse==0.4.3
|
| 645 |
-
squarify==0.4.3
|
| 646 |
-
srsly==2.4.5
|
| 647 |
-
starlette==0.22.0
|
| 648 |
-
statsmodels==0.13.5
|
| 649 |
-
stemming==1.0.1
|
| 650 |
-
stop-words==2018.7.23
|
| 651 |
-
stopit==1.1.2
|
| 652 |
-
stumpy==1.11.1
|
| 653 |
-
sympy==1.10.1
|
| 654 |
-
tables==3.7.0
|
| 655 |
-
tabulate==0.9.0
|
| 656 |
-
tangled-up-in-unicode==0.2.0
|
| 657 |
-
tbb==2021.8.0
|
| 658 |
-
tblib==1.7.0
|
| 659 |
-
tenacity==8.1.0
|
| 660 |
-
tensorboard==2.11.2
|
| 661 |
-
tensorboard-data-server==0.6.1
|
| 662 |
-
tensorboard-plugin-profile==2.11.1
|
| 663 |
-
tensorboard-plugin-wit==1.8.1
|
| 664 |
-
tensorboardX==2.5.1
|
| 665 |
-
tensorflow==2.11.0
|
| 666 |
-
tensorflow-addons==0.19.0
|
| 667 |
-
tensorflow-cloud==0.1.16
|
| 668 |
-
tensorflow-datasets==4.8.2
|
| 669 |
-
tensorflow-decision-forests==1.2.0
|
| 670 |
-
tensorflow-estimator==2.11.0
|
| 671 |
-
tensorflow-gcs-config==2.11.0
|
| 672 |
-
tensorflow-hub==0.12.0
|
| 673 |
-
tensorflow-io==0.29.0
|
| 674 |
-
tensorflow-io-gcs-filesystem==0.29.0
|
| 675 |
-
tensorflow-metadata==1.12.0
|
| 676 |
-
tensorflow-probability==0.19.0
|
| 677 |
-
tensorflow-serving-api==2.11.0
|
| 678 |
-
tensorflow-text==2.11.0
|
| 679 |
-
tensorflow-transform==1.12.0
|
| 680 |
-
tensorpack==0.11
|
| 681 |
-
tensorstore==0.1.28
|
| 682 |
-
termcolor==2.2.0
|
| 683 |
-
terminado @ file:///home/conda/feedstock_root/build_artifacts/terminado_1670253674810/work
|
| 684 |
-
text-unidecode==1.3
|
| 685 |
-
textblob==0.17.1
|
| 686 |
-
texttable==1.6.7
|
| 687 |
-
textwrap3==0.9.2
|
| 688 |
-
tflite-runtime==2.11.0
|
| 689 |
-
tfx-bsl==1.12.0
|
| 690 |
-
Theano==1.0.5
|
| 691 |
-
Theano-PyMC==1.1.2
|
| 692 |
-
thinc==8.1.7
|
| 693 |
-
threadpoolctl==3.1.0
|
| 694 |
-
tifffile==2021.11.2
|
| 695 |
-
timm==0.6.12
|
| 696 |
-
tinycss2 @ file:///home/conda/feedstock_root/build_artifacts/tinycss2_1666100256010/work
|
| 697 |
-
tobler==0.9.0
|
| 698 |
-
tokenizers==0.13.2
|
| 699 |
-
toml==0.10.2
|
| 700 |
-
tomli==2.0.1
|
| 701 |
-
tomlkit==0.11.6
|
| 702 |
-
toolz==0.11.2
|
| 703 |
-
torch==1.13.0+cpu
|
| 704 |
-
torchaudio==0.13.0+cpu
|
| 705 |
-
torchinfo==1.7.2
|
| 706 |
-
torchmetrics==0.11.1
|
| 707 |
-
torchtext==0.14.0
|
| 708 |
-
torchvision==0.14.0+cpu
|
| 709 |
-
tornado @ file:///home/conda/feedstock_root/build_artifacts/tornado_1656937818679/work
|
| 710 |
-
TPOT==0.11.7
|
| 711 |
-
tqdm==4.64.1
|
| 712 |
-
traceml==1.0.8
|
| 713 |
-
traitlets @ file:///home/conda/feedstock_root/build_artifacts/traitlets_1673359992537/work
|
| 714 |
-
traittypes==0.2.1
|
| 715 |
-
transformers==4.26.1
|
| 716 |
-
trueskill==0.4.5
|
| 717 |
-
tsfresh==0.20.0
|
| 718 |
-
typed-ast==1.5.4
|
| 719 |
-
typeguard==2.13.3
|
| 720 |
-
typer==0.7.0
|
| 721 |
-
typing_extensions @ file:///home/conda/feedstock_root/build_artifacts/typing_extensions_1665144421445/work
|
| 722 |
-
tzdata==2022.7
|
| 723 |
-
tzlocal==4.2
|
| 724 |
-
ujson==5.7.0
|
| 725 |
-
umap-learn==0.5.3
|
| 726 |
-
unicodedata2 @ file:///home/conda/feedstock_root/build_artifacts/unicodedata2_1649111917568/work
|
| 727 |
-
Unidecode==1.3.6
|
| 728 |
-
update-checker==0.18.0
|
| 729 |
-
uritemplate==3.0.1
|
| 730 |
-
urllib3 @ file:///home/conda/feedstock_root/build_artifacts/urllib3_1673452138552/work
|
| 731 |
-
urwid==2.1.2
|
| 732 |
-
urwid-readline==0.13
|
| 733 |
-
uvicorn==0.20.0
|
| 734 |
-
uvloop==0.17.0
|
| 735 |
-
vaex==4.16.0
|
| 736 |
-
vaex-astro==0.9.3
|
| 737 |
-
vaex-core==4.16.1
|
| 738 |
-
vaex-hdf5==0.14.1
|
| 739 |
-
vaex-jupyter==0.8.1
|
| 740 |
-
vaex-ml==0.18.1
|
| 741 |
-
vaex-server==0.8.1
|
| 742 |
-
vaex-viz==0.5.4
|
| 743 |
-
vecstack==0.4.0
|
| 744 |
-
virtualenv==20.17.1
|
| 745 |
-
visions==0.7.5
|
| 746 |
-
vowpalwabbit==9.7.0
|
| 747 |
-
vtk==9.2.6
|
| 748 |
-
Wand==0.6.11
|
| 749 |
-
wandb==0.13.10
|
| 750 |
-
wasabi==1.1.1
|
| 751 |
-
watchfiles==0.18.1
|
| 752 |
-
wavio==0.0.7
|
| 753 |
-
wcwidth @ file:///home/conda/feedstock_root/build_artifacts/wcwidth_1673864653149/work
|
| 754 |
-
webencodings==0.5.1
|
| 755 |
-
websocket-client @ file:///home/conda/feedstock_root/build_artifacts/websocket-client_1667568040382/work
|
| 756 |
-
websockets==10.4
|
| 757 |
-
Werkzeug==2.2.3
|
| 758 |
-
wfdb==4.1.0
|
| 759 |
-
whatthepatch==1.0.4
|
| 760 |
-
widgetsnbextension==3.6.2
|
| 761 |
-
witwidget==1.8.1
|
| 762 |
-
woodwork==0.16.4
|
| 763 |
-
Wordbatch==1.4.9
|
| 764 |
-
wordcloud==1.8.2.2
|
| 765 |
-
wordsegment==1.3.1
|
| 766 |
-
wrapt==1.14.1
|
| 767 |
-
wurlitzer==3.0.3
|
| 768 |
-
xarray==0.20.2
|
| 769 |
-
xarray-einstats==0.2.2
|
| 770 |
-
xgboost==1.6.2
|
| 771 |
-
xvfbwrapper==0.2.9
|
| 772 |
-
xxhash==3.2.0
|
| 773 |
-
xyzservices==2023.2.0
|
| 774 |
-
yacs==0.1.8
|
| 775 |
-
yapf==0.32.0
|
| 776 |
-
yarl==1.8.2
|
| 777 |
-
yellowbrick==1.5
|
| 778 |
-
zict==2.2.0
|
| 779 |
-
zipp @ file:///home/conda/feedstock_root/build_artifacts/zipp_1669453021653/work
|
| 780 |
-
zstandard @ file:///home/conda/feedstock_root/build_artifacts/zstandard_1655887611100/work
|
|
|
|
| 1 |
+
streamlit==1.21.0
|
| 2 |
+
streamlit-lottie==0.0.3
|
| 3 |
+
streamlit-webrtc==0.45.0
|
| 4 |
+
av
|
| 5 |
+
numpy
|
| 6 |
+
pandas
|
| 7 |
+
mediapipe
|
| 8 |
+
torch
|
| 9 |
+
tensorflow
|
| 10 |
+
opencv-contrib-python==4.7.0.72
|
| 11 |
+
opencv-python==4.7.0.68
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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