requirements.txt

#
# This file is autogenerated by pip-compile with Python 3.11
# by the following command:
#
#    pip-compile requirements.in
#
accelerate==1.3.0
    # via -r requirements.in
aiohappyeyeballs==2.4.6
    # via aiohttp
aiohttp==3.11.12
    # via
    #   datasets
    #   fsspec
aiosignal==1.3.2
    # via aiohttp
arrow==1.3.0
    # via cookiecutter
attrs==25.1.0
    # via aiohttp
binaryornot==0.4.4
    # via cookiecutter
build==1.2.2.post1
    # via pip-tools
certifi==2025.1.31
    # via requests
chardet==5.2.0
    # via binaryornot
charset-normalizer==3.4.1
    # via requests
click==8.1.8
    # via
    #   cookiecutter
    #   evalutils
    #   pip-tools
cookiecutter==2.6.0
    # via evalutils
datasets==3.3.0
    # via
    #   -r requirements.in
    #   evaluate
dill==0.3.8
    # via
    #   datasets
    #   evaluate
    #   multiprocess
evaluate==0.4.3
    # via -r requirements.in
evalutils==0.4.2
    # via -r requirements.in
filelock==3.17.0
    # via
    #   datasets
    #   huggingface-hub
    #   torch
    #   transformers
frozenlist==1.5.0
    # via
    #   aiohttp
    #   aiosignal
fsspec[http]==2024.12.0
    # via
    #   datasets
    #   evaluate
    #   huggingface-hub
    #   torch
huggingface-hub==0.28.1
    # via
    #   accelerate
    #   datasets
    #   evaluate
    #   tokenizers
    #   transformers
idna==3.10
    # via
    #   requests
    #   yarl
imageio[tifffile]==2.37.0
    # via evalutils
jinja2==3.1.5
    # via
    #   cookiecutter
    #   torch
joblib==1.4.2
    # via scikit-learn
markdown-it-py==3.0.0
    # via rich
markupsafe==3.0.2
    # via jinja2
mdurl==0.1.2
    # via markdown-it-py
mpmath==1.3.0
    # via sympy
multidict==6.1.0
    # via
    #   aiohttp
    #   yarl
multiprocess==0.70.16
    # via
    #   datasets
    #   evaluate
networkx==3.4.2
    # via torch
numpy==2.2.3
    # via
    #   accelerate
    #   datasets
    #   evaluate
    #   evalutils
    #   imageio
    #   pandas
    #   scikit-learn
    #   scipy
    #   seqeval
    #   tifffile
    #   transformers
    #   xformers
nvidia-cublas-cu12==12.4.5.8
    # via
    #   nvidia-cudnn-cu12
    #   nvidia-cusolver-cu12
    #   torch
nvidia-cuda-cupti-cu12==12.4.127
    # via torch
nvidia-cuda-nvrtc-cu12==12.4.127
    # via torch
nvidia-cuda-runtime-cu12==12.4.127
    # via torch
nvidia-cudnn-cu12==9.1.0.70
    # via torch
nvidia-cufft-cu12==11.2.1.3
    # via torch
nvidia-curand-cu12==10.3.5.147
    # via torch
nvidia-cusolver-cu12==11.6.1.9
    # via torch
nvidia-cusparse-cu12==12.3.1.170
    # via
    #   nvidia-cusolver-cu12
    #   torch
nvidia-cusparselt-cu12==0.6.2
    # via torch
nvidia-nccl-cu12==2.21.5
    # via torch
nvidia-nvjitlink-cu12==12.4.127
    # via
    #   nvidia-cusolver-cu12
    #   nvidia-cusparse-cu12
    #   torch
nvidia-nvtx-cu12==12.4.127
    # via torch
packaging==24.2
    # via
    #   accelerate
    #   build
    #   datasets
    #   evaluate
    #   huggingface-hub
    #   transformers
pandas==2.2.3
    # via
    #   -r requirements.in
    #   datasets
    #   evaluate
    #   evalutils
pillow==11.1.0
    # via imageio
pip-tools==7.4.1
    # via evalutils
propcache==0.2.1
    # via
    #   aiohttp
    #   yarl
psutil==7.0.0
    # via accelerate
pyarrow==19.0.0
    # via datasets
pygments==2.19.1
    # via rich
pyproject-hooks==1.2.0
    # via
    #   build
    #   pip-tools
python-dateutil==2.9.0.post0
    # via
    #   arrow
    #   pandas
python-slugify==8.0.4
    # via cookiecutter
pytz==2025.1
    # via pandas
pyyaml==6.0.2
    # via
    #   accelerate
    #   cookiecutter
    #   datasets
    #   huggingface-hub
    #   transformers
regex==2024.11.6
    # via transformers
requests==2.32.3
    # via
    #   cookiecutter
    #   datasets
    #   evaluate
    #   huggingface-hub
    #   transformers
rich==13.9.4
    # via cookiecutter
safetensors==0.5.2
    # via
    #   accelerate
    #   transformers
scikit-learn==1.5.2
    # via
    #   -r requirements.in
    #   evalutils
    #   seqeval
scipy==1.15.2
    # via
    #   evalutils
    #   scikit-learn
seqeval==1.2.2
    # via -r requirements.in
simpleitk==2.4.1
    # via evalutils
six==1.17.0
    # via python-dateutil
sympy==1.13.1
    # via torch
text-unidecode==1.3
    # via python-slugify
threadpoolctl==3.5.0
    # via scikit-learn
tifffile==2025.1.10
    # via imageio
tokenizers==0.21.0
    # via transformers
torch==2.6.0
    # via
    #   -r requirements.in
    #   accelerate
    #   xformers
tqdm==4.67.1
    # via
    #   datasets
    #   evaluate
    #   huggingface-hub
    #   transformers
transformers==4.48.3
    # via -r requirements.in
triton==3.2.0
    # via torch
types-python-dateutil==2.9.0.20241206
    # via arrow
typing-extensions==4.12.2
    # via
    #   huggingface-hub
    #   torch
tzdata==2025.1
    # via pandas
urllib3==2.3.0
    # via requests
wheel==0.45.1
    # via pip-tools
xformers==0.0.29.post3
    # via -r requirements.in
xxhash==3.5.0
    # via
    #   datasets
    #   evaluate
yarl==1.18.3
    # via aiohttp

# The following packages are considered to be unsafe in a requirements file:
# pip
# setuptools