Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

⚡ A Fast, Extensible Progress Bar for Python and CLI

Rendered math (MathJax) with Slack's desktop client

Python exercises accompanying the book "Neuronal Dynamics"

Event datasets and transforms.

A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorphic hardware.

PyTorch implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"

Implementation of Hilbert beamforming for SNN-based audio source localisation

Feedback-based Online Local Learning Of Weights (FOLLOW)