neuralnetlib 3.2.0
- feat(metrics): add roc auc, pr auc, r2 and classifrep
- feat(model): add gradient clipping and matrix padding optimizations
- docs(notebook): fresh run
- feat(Model): add temperature and sequence generation with improved sampling
- ci: bump version to 3.2.0