# Core numerical & ML libraries
torch>=2.5.1           # PyTorch for tensor ops & models
numpy>=2.1.3           # array computing
pandas>=2.2.3           # data‐frame support
scikit‐learn>=1.6.1     # train_test_split, metrics, etc.
matplotlib>=3.10.0       # plotting

# Decoding baselines
xgboost>=3.0.0          # XGBoost decoder
Neural-Decoding>=0.1.5 	# from https://github.com/kordinglab/neural_decoding 

# Notebook & reproducibility
jupyter>=1.0.0          # to run the .ipynb files
ipykernel>=6.29.5        # kernel support
