# Core PyTorch packages (install Python 3.9 separately via conda or pyenv)
# torch==2.3.0
# torchvision==0.18.0
# torchaudio==2.3.0
# Remove pytorch-cuda=12.1 (use conda or install manually if needed)

# Essential libraries
einops==0.8.0
iopath==0.1.10
pandas==2.2.3
timm==1.0.11
webdataset==0.2.100
yacs==0.1.8
h5py
advertorch
setproctitle
scipy
matplotlib==3.9.2
scikit-learn==1.5.2
seaborn

cvxpy

# Logging and experiments
wandb==0.18.5
wandb[media]

#
transformers


# Model and evaluation tools
open-clip-torch==2.29.0

# Git dependencies
#git+https://github.com/RobustBench/robustbench.git
git+https://github.com/fra31/auto-attack

