Spaces:
Sleeping
Sleeping
shorten reqs
Browse files- requirements.txt +3 -267
requirements.txt
CHANGED
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@@ -1,272 +1,8 @@
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| 1 |
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absl-py==2.2.2
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| 2 |
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accelerate==0.34.2
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| 3 |
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adagio==0.2.6
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| 4 |
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aiofiles==23.2.1
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| 5 |
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aiohappyeyeballs==2.4.3
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| 6 |
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aiohttp==3.10.10
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| 7 |
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aiohttp-cors==0.8.1
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| 8 |
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aiosignal==1.3.1
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| 9 |
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alembic==1.15.2
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| 10 |
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altair==5.3.0
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| 11 |
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annotated-types==0.7.0
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| 12 |
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antlr4-python3-runtime==4.9.3
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| 13 |
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anyio==4.3.0
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| 14 |
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appdirs==1.4.4
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| 15 |
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asttokens==2.4.1
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| 16 |
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async-timeout==4.0.3
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| 17 |
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attrs==23.2.0
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| 18 |
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beautifulsoup4==4.13.3
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| 19 |
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blis==0.7.11
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| 20 |
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boto3==1.37.34
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| 21 |
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botocore==1.37.34
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| 22 |
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cachetools==5.5.2
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| 23 |
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catalogue==2.0.10
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| 24 |
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catboost==1.2.8
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| 25 |
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certifi==2024.2.2
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| 26 |
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charset-normalizer==3.3.2
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| 27 |
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click==8.1.7
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| 28 |
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cloudpathlib==0.21.0
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| 29 |
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cloudpickle==3.1.1
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| 30 |
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colorama==0.4.6
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| 31 |
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colorful==0.5.6
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| 32 |
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colorlog==6.9.0
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| 33 |
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comm==0.2.1
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| 34 |
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confection==0.1.5
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| 35 |
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ConfigSpace==0.4.21
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| 36 |
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contourpy==1.2.0
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| 37 |
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coreforecast==0.0.12
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| 38 |
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cycler==0.12.1
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| 39 |
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cymem==2.0.11
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| 40 |
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Cython==3.0.12
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| 41 |
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dask==2024.8.0
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| 42 |
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datasets==3.0.1
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| 43 |
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debugpy==1.8.1
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| 44 |
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decorator==5.1.1
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| 45 |
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defusedxml==0.7.1
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| 46 |
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dill==0.3.8
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| 47 |
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distlib==0.3.9
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| 48 |
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distributed==2024.8.0
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| 49 |
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distro==1.9.0
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| 50 |
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dnspython==2.6.1
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| 51 |
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efficientnet-pytorch==0.7.1
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| 52 |
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einops==0.8.0
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| 53 |
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email_validator==2.1.1
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| 54 |
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emcee==3.1.6
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| 55 |
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evaluate==0.4.3
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| 56 |
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exceptiongroup==1.2.0
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| 57 |
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executing==2.0.1
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| 58 |
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fastai==2.7.19
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| 59 |
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fastapi==0.111.0
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| 60 |
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fastapi-cli==0.0.4
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| 61 |
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fastcore==1.7.29
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| 62 |
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fastdownload==0.0.7
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| 63 |
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fastprogress==1.0.3
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| 64 |
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ffmpy==0.3.2
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| 65 |
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filelock==3.18.0
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| 66 |
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fonttools==4.49.0
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| 67 |
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frozenlist==1.4.1
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| 68 |
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fs==2.4.16
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| 69 |
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fsspec==2024.3.1
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| 70 |
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fugue==0.9.1
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| 71 |
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future==1.0.0
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| 72 |
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gdown==5.2.0
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| 73 |
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gluonts==0.16.1
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| 74 |
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google-api-core==2.24.2
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| 75 |
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google-auth==2.39.0
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| 76 |
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googleapis-common-protos==1.70.0
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| 77 |
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grad-cam==1.5.5
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| 78 |
gradio==4.44.1
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| 79 |
gradio_client==1.3.0
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| 80 |
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| 81 |
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greenlet==3.1.1
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| 82 |
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grpcio==1.71.0
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| 83 |
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h11==0.14.0
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| 84 |
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httpcore==1.0.5
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| 85 |
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httptools==0.6.1
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| 86 |
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httpx==0.27.0
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| 87 |
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huggingface-hub==0.25.2
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| 88 |
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hyperopt==0.2.7
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| 89 |
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idna==3.6
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| 90 |
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imageio==2.34.0
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| 91 |
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importlib_metadata==7.0.2
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| 92 |
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importlib_resources==6.1.3
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| 93 |
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ipykernel==6.29.3
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| 94 |
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ipython==8.18.1
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| 95 |
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jedi==0.19.1
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| 96 |
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Jinja2==3.1.2
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| 97 |
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jmespath==1.0.1
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| 98 |
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joblib==1.4.2
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| 99 |
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jsonschema==4.21.1
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| 100 |
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jsonschema-specifications==2023.12.1
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| 101 |
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jupyter_client==8.6.0
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| 102 |
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jupyter_core==5.7.1
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| 103 |
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kiwisolver==1.4.5
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| 104 |
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langcodes==3.5.0
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| 105 |
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language_data==1.3.0
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| 106 |
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lazy_loader==0.3
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| 107 |
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liac-arff==2.5.0
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| 108 |
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lightgbm==4.5.0
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| 109 |
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lightning==2.5.1
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| 110 |
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lightning-utilities==0.14.3
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| 111 |
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linkify-it-py==2.0.3
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| 112 |
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llvmlite==0.43.0
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| 113 |
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locket==1.0.0
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| 114 |
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Mako==1.3.10
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| 115 |
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marisa-trie==1.2.1
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| 116 |
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Markdown==3.8
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| 117 |
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markdown-it-py==3.0.0
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| 118 |
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MarkupSafe==2.1.3
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| 119 |
matplotlib==3.8.3
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| 120 |
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| 121 |
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mdit-py-plugins==0.4.2
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| 122 |
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mdurl==0.1.2
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| 123 |
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memray==1.17.1
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| 124 |
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mkl-service==2.4.0
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| 125 |
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mlforecast==0.13.4
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| 126 |
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model-index==0.1.11
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| 127 |
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mpmath==1.3.0
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| 128 |
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msgpack==1.1.0
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| 129 |
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multidict==6.1.0
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| 130 |
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multiprocess==0.70.16
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| 131 |
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munch==4.0.0
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| 132 |
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murmurhash==1.0.12
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| 133 |
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narwhals==1.35.0
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| 134 |
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nest-asyncio==1.6.0
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| 135 |
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networkx==3.2.1
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| 136 |
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nlpaug==1.1.11
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| 137 |
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nltk==3.8.1
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| 138 |
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numba==0.60.0
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| 139 |
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numpy==1.26.4
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| 140 |
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omegaconf==2.2.3
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| 141 |
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opencensus==0.11.4
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| 142 |
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opencensus-context==0.1.3
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| 143 |
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opencv-python==4.9.0.80
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| 144 |
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opendatalab==0.0.10
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| 145 |
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openmim==0.3.9
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| 146 |
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openxlab==0.0.11
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| 147 |
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optuna==4.3.0
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| 148 |
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ordered-set==4.1.0
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| 149 |
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orjson==3.10.3
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| 150 |
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packaging==23.2
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| 151 |
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parso==0.8.3
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| 152 |
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partd==1.4.2
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| 153 |
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patsy==1.0.1
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| 154 |
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pdf2image==1.17.0
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| 155 |
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pexpect==4.9.0
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| 156 |
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pillow==10.2.0
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| 157 |
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platformdirs==4.2.0
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| 158 |
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plotly==6.0.1
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| 159 |
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preshed==3.0.9
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| 160 |
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pretrainedmodels==0.7.4
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| 161 |
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prometheus_client==0.21.1
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| 162 |
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prompt-toolkit==3.0.43
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| 163 |
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propcache==0.2.0
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| 164 |
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proto-plus==1.26.1
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| 165 |
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protobuf==6.30.2
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| 166 |
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psutil==5.9.8
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| 167 |
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ptyprocess==0.7.0
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| 168 |
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pure-eval==0.2.2
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| 169 |
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py-spy==0.4.0
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| 170 |
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py4j==0.10.9.9
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| 171 |
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pyarrow==17.0.0
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| 172 |
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pyasn1==0.6.1
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| 173 |
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pyasn1_modules==0.4.2
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| 174 |
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pycocotools==2.0.7
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| 175 |
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pycryptodome==3.22.0
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| 176 |
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pydantic==2.7.1
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| 177 |
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pydantic_core==2.18.2
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| 178 |
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pydub==0.25.1
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| 179 |
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Pygments==2.17.2
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| 180 |
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pynisher==0.6.4
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| 181 |
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pyparsing==3.1.2
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| 182 |
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pyrfr==0.8.3
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| 183 |
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PySocks==1.7.1
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| 184 |
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pytesseract==0.3.10
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| 185 |
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python-dotenv==1.0.1
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| 186 |
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python-multipart==0.0.9
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| 187 |
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pytorch-lightning==2.5.1
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| 188 |
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pytorch-metric-learning==2.3.0
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| 189 |
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PyYAML==6.0.1
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| 190 |
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pyzmq==25.1.2
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| 191 |
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ray==2.39.0
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| 192 |
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referencing==0.35.1
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| 193 |
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regex==2024.9.11
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| 194 |
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requests==2.32.3
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| 195 |
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rich==13.7.1
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| 196 |
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rpds-py==0.18.1
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| 197 |
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rsa==4.9
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| 198 |
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ruff==0.4.4
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| 199 |
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s3transfer==0.11.4
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| 200 |
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safetensors==0.5.3
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| 201 |
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scikit-image==0.22.0
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| 202 |
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scikit-learn==0.24.2
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| 203 |
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scipy==1.12.0
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| 204 |
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seaborn==0.13.2
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| 205 |
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segmentation-models-pytorch==0.3.3
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| 206 |
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semantic-version==2.10.0
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| 207 |
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sentencepiece==0.2.0
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| 208 |
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seqeval==1.2.2
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| 209 |
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shellingham==1.5.4
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| 210 |
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smac==1.2
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| 211 |
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smart-open==7.1.0
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| 212 |
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sniffio==1.3.1
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| 213 |
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sortedcontainers==2.4.0
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| 214 |
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soupsieve==2.6
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| 215 |
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spacy==3.7.5
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| 216 |
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spacy-legacy==3.0.12
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| 217 |
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spacy-loggers==1.0.5
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| 218 |
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SQLAlchemy==2.0.40
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| 219 |
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srsly==2.5.1
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| 220 |
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stack-data==0.6.3
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| 221 |
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starlette==0.37.2
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| 222 |
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statsforecast==1.7.8
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| 223 |
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statsmodels==0.14.4
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| 224 |
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sympy==1.12
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| 225 |
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tabulate==0.9.0
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| 226 |
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tblib==3.1.0
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| 227 |
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tensorboard==2.19.0
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| 228 |
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tensorboard-data-server==0.7.2
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| 229 |
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tensorboardX==2.6.2.2
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| 230 |
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text-unidecode==1.3
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| 231 |
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textual==3.1.0
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| 232 |
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thinc==8.2.5
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| 233 |
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threadpoolctl==3.5.0
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| 234 |
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tifffile==2024.2.12
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| 235 |
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timm==1.0.3
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| 236 |
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tokenizers==0.20.1
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| 237 |
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tomlkit==0.12.0
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| 238 |
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toolz==0.12.1
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| 239 |
torch==2.2.1
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| 240 |
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torchaudio==2.2.1
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| 241 |
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torchmetrics==1.2.1
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| 242 |
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torchsummary==1.5.1
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| 243 |
torchvision==0.17.1
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| 244 |
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| 245 |
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tqdm==4.66.5
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| 246 |
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traitlets==5.14.1
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| 247 |
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transformers==4.45.2
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| 248 |
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triad==0.9.8
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| 249 |
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triton==2.2.0
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| 250 |
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ttach==0.0.3
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| 251 |
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typer==0.12.3
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| 252 |
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typing_extensions==4.13.2
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| 253 |
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uc-micro-py==1.0.3
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| 254 |
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ujson==5.10.0
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| 255 |
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urllib3==2.4.0
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| 256 |
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utilsforecast==0.2.4
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| 257 |
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uvicorn==0.29.0
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| 258 |
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uvloop==0.19.0
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| 259 |
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virtualenv==20.30.0
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| 260 |
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wasabi==1.1.3
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| 261 |
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watchfiles==0.21.0
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| 262 |
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wcwidth==0.2.13
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| 263 |
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weasel==0.4.1
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| 264 |
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websockets==11.0.3
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| 265 |
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Werkzeug==3.1.3
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| 266 |
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window_ops==0.0.15
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| 267 |
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wrapt==1.17.2
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| 268 |
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xgboost==2.1.4
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| 269 |
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xxhash==3.5.0
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| 270 |
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yarl==1.15.0
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| 271 |
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zict==3.0.0
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| 272 |
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zipp==3.17.0
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| 1 |
gradio==4.44.1
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| 2 |
gradio_client==1.3.0
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| 3 |
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huggingface_hub==0.25.2
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| 4 |
matplotlib==3.8.3
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| 5 |
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opencv_python==4.9.0.80
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| 6 |
torch==2.2.1
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| 7 |
torchvision==0.17.1
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| 8 |
+
grad_cam==1.5.5
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