Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.

PyTorch implementation of SLAYER for training Spiking Neural Networks

MINE: Mutual Information Neural Estimation in pytorch (unofficial)

Exploring CNNs and model quantization on Caltech-256 dataset

Reinforcement Learning for Spiking Neural Networks

Seismic and geoacoustic array processing