A collection of simple tutorials
- Network Pruning Example: Simple implementation of pruning weights from a fully-connected neural network to improve the efficiency
- Persistence Diagram Playground: Practice analyzing data using persistence homology
- LSTM AE Anomaly Prediction: Train an LSTM autoencoder on power grid data to detect power grid faults
- Loss Landscapes:Example of how to calculate a loss landscape