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requirements.txt
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Werkzeug==3.0.3
packaging==24.0
prompt_toolkit==3.0.47
kagglehub==0.3.3
packaging==24.1
pandas==2.2.2
MarkupSafe==2.1.3
regex==2024.5.10
typing_extensions==4.11.0
debugpy==1.8.5
ipykernel==6.29.5
setproctitle==1.3.3
pillow==10.3.0
matplotlib-inline==0.1.7
psutil==5.9.8
networkx==3.1
torchsummary==1.5.1
mpmath==1.3.0
gitdb==4.0.11
cycler==0.12.1
nvidia-cublas-cu12==12.4.2.65
nvidia-cusolver-cu12==11.6.0.99
tqdm==4.66.6
sentry-sdk==2.1.1
pip==24.0
torchvision==0.19.1+cu124
ml-collections==0.1.1
timm==1.0.7
mkl-random==1.2.4
h5py==3.11.0
jedi==0.19.1
urllib3==2.1.0
kiwisolver==1.4.5
tqdm==4.66.4
tornado==6.4.1
nvidia-cuda-cupti-cu12==12.4.99
pexpect==4.9.0
tzdata==2024.1
filelock==3.13.1
nest-asyncio==1.6.0
triton==3.0.0
mkl-service==2.4.0
nvidia-cusparse-cu12==12.3.0.142
smmap==5.0.1
nvidia-cuda-runtime-cu12==12.4.99
clip==1.0
threadpoolctl==3.5.0
GitPython==3.1.43
fonttools==4.51.0
exceptiongroup==1.2.2
traitlets==5.14.3
lmdb==1.4.1
pyzmq==26.2.0
nvidia-nvtx-cu12==12.4.99
wheel==0.43.0
executing==2.1.0
requests==2.31.0
asttokens==2.4.1
PyYAML==6.0.1
ptyprocess==0.7.0
comm==0.2.2
scikit-learn==1.4.2
Brotli==1.0.9
seaborn==0.13.2
Jinja2==3.1.3
absl-py==2.1.0
gmpy2==2.1.2
tensorboard==2.16.2
idna==3.7
nvidia-nccl-cu12==2.20.5
imagenetv2_pytorch==0.1
wcwidth==0.2.13
jupyter_core==5.7.2
transformers==4.44.2
stack-data==0.6.3
nvidia-cufft-cu12==11.2.0.44
pure_eval==0.2.3
ipython==8.27.0
python-dateutil==2.9.0.post0
mkl-fft==1.3.8
torchaudio==2.4.1+cu124
tokenizers==0.19.1
protobuf==4.25.3
setuptools==69.5.1
Markdown==3.6
sympy==1.13.1
pyparsing==3.1.2
parso==0.8.4
joblib==1.4.2
charset-normalizer==2.0.4
six==1.16.0
scipy==1.13.0
contextlib2==21.6.0
huggingface-hub==0.23.4
click==8.1.7
tensorboard-data-server==0.7.2
colorama==0.4.6
platformdirs==4.2.1
wandb==0.17.0
nvidia-cudnn-cu12==9.1.0.70
pytz==2024.1
contourpy==1.2.1
torch==2.4.1+cu124
matplotlib==3.8.4
grpcio==1.63.0
jupyter_client==8.6.3
docker-pycreds==0.4.0
decorator==5.1.1
ftfy==6.2.0
nvidia-cuda-nvrtc-cu12==12.4.99
certifi==2024.8.30
nvidia-curand-cu12==10.3.5.119
numpy==1.26.4
nvidia-nvjitlink-cu12==12.4.99
Pygments==2.18.0
PySocks==1.7.1
safetensors==0.4.3
fsspec==2024.3.1