openvino-dev[onnx,tensorflow2]==2022.2.0
gdown
pytube>=12.1.0
yaspin
librosa==0.8.1

# PyTorch/ONNX notebook requirements
fastseg
ipywidgets

# Upgrade onnx version to avoid 220 YOLOV5 pytorch to onnx model export issue on Windows
onnx>=1.11.0,<1.12.0

torch==1.8.1; sys_platform == 'darwin'
torchvision==0.9.1; sys_platform == 'darwin'
--find-links https://download.pytorch.org/whl/torch_stable.html
torch==1.8.1+cpu; sys_platform =='linux' or platform_system == 'Windows'
torchvision==0.9.1+cpu; sys_platform =='linux' or platform_system == 'Windows'
torchmetrics==0.6.2

# PaddlePaddle notebook requirements
# For 103 PaddlePaddle MO conversion tutorial and 206 PaddleGAN/AnimeGAN demo
paddlepaddle==2.2.*
paddlehub<=2.2.0
# paddle2onnx 0.9.7 fails export in 206 and 207
paddle2onnx>=0.6,<=0.9.6
ppgan==2.1.*

# BERT quantization notebook requirements
transformers

# NNCF notebook requirements
nncf[tf,torch]==2.3.0
tensorflow==2.5.3
tensorflow_datasets==4.2.0

# CT scan training/inference requirements
monai==0.9.1
pytorch_lightning

# Jupyter requirements
jupyterlab

# The packages below are not directly required. They are dependencies of 
# other dependencies that are pinned to a specific version to avoid
# compatibility issues or vulnerabilities
seaborn>=0.11.0
geffnet==0.9.8
matplotlib<3.4
jedi==0.17.2
setuptools>=56.0.0
Pillow>=8.3.2
ipykernel==5.*
ipython==7.16.3 # not directly required, pinned to avoid a vulnerability
pygments>=2.7.4 # not directly required, pinned by Snyk to avoid a vulnerability
nltk>=3.6.4 # not directly required, pinned by Snyk to avoid a vulnerability
rsa>=4.7 # not directly required, pinned by Snyk to avoid a vulnerability
scikit-learn>=0.24.2 # not directly required, pinned by Snyk to avoid a vulnerability
paddlenlp==2.0.8 # workaround for "cannot import name '_C_ops'" error with paddlehub
parasail<=1.2.4 # higher version causes paddle issues
nest-asyncio<=1.5.4
jupyter-client<=7.2.0