A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

Awesome collection of DyNN papers for Computer Vision and Sensor Fusion applications ✨

Monty is a sensorimotor learning framework based on the thousand brains theory of the neocortex.

Learning in infinite dimension with neural operators.

A generative world for general-purpose robotics & embodied AI learning.

Liquid Structural State-Space Models

Fractal Graph-of-Thought. Rhizomatic Mind-Mapping for Ai-Agents, Web-Links, Notes, and Code.

Recipe for a General, Powerful, Scalable Graph Transformer

Distributed High-Performance Symbolic Regression in Julia

Latent Program Network (from the "Searching Latent Program Spaces" paper)

Shapley Interactions and Shapley Values for Machine Learning

Deep and online learning with spiking neural networks in Python

Fully and Partially Bayesian Neural Nets

Hopfield Networks is All You Need

A collection of awesome mathematics and computer science courses

A Robust Backpropagation-Free Framework for Images

NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python

TopoBench is a Python library designed to standardize benchmarking and accelerate research in Topological Deep Learning

An open source implementation of LFMs from Liquid AI: Liquid Foundation Models

Implementation of Liquid Nets in Pytorch

Neural Networks and the Chomsky Hierarchy

Predict sequential data with recurrent neural networks with biological wiring

Convert biological neuronal networks to artificial recurrent neuronal networks

LeanRL is a fork of CleanRL, where selected PyTorch scripts optimized for performance using compile and cudagraphs.

A simple and flexible code for Reservoir Computing architectures like Echo State Networks

Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code