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+# v0.1.0
+
+## Initial Release (v0.1.0)
+
+### Features
+- Added preprocessing script (`preprocess.py`) to convert CSV or EDF files to NumPy .npy files with various preprocessing steps including notch filtering and bandpass filtering.
+- Implemented parallel processing for preprocessing using the `--parallel` flag.
+- Added support for TUH EEG files in preprocessing.
+- Included detailed README with instructions for using `preprocess.py` and example usage for Crown CSV files and TUH EEG files.
+- Integrated `wandb` for experiment tracking.
+- Added `CSVLogCallback` class in `src/trainer/make.py` for logging training and evaluation metrics to CSV files.
+- Provided `train_parallel.sh` script for distributed training using PyTorch with multiple GPUs.
+- Included dependencies in `requirements.txt` and `requirements-dev.txt` for easy setup.
+
+### Documentation
+- Comprehensive README with setup instructions, preprocessing details, and example usage.
+- Links to external resources for additional help with tools like `tmux`.
+
+### References
+- Based on NeuroGPT by Wenhui Cui et al.
+- Inspired by Neurosity Foundational Model by Jeremy Nixon and AJ Keller.