4iar

lima

Linux virtual machines, with a focus on running containers

python-mastery

Advanced Python Mastery (course by @dabeaz)

deap

Distributed Evolutionary Algorithms in Python

GPU-Puzzles

Solve puzzles. Learn CUDA.

Tools-to-Design-or-Visualize-Architecture-of-Neural-Network

Tools to Design or Visualize Architecture of Neural Network

MARL-Papers

Paper list of multi-agent reinforcement learning (MARL)

openapi-devtools

Browser extension that generates API specs for any app or website

HEBO

Bayesian optimisation & Reinforcement Learning library developped by Huawei Noah's Ark Lab

ffcv

FFCV: Fast Forward Computer Vision (and other ML workloads!)

galai

Model API for GALACTICA

co-tracker

CoTracker is a model for tracking any point (pixel) on a video.

uvadlc_notebooks

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

langroid

Harness LLMs with Multi-Agent Programming

Physics-Based-Deep-Learning

Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond

rejected-github-profile-achievements

😵 GitHub achievements that did not make the cut.

prompts-for-edu

spikingjelly

SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.

fastcore

Python supercharged for the fastai library

awesome-neural-geometry

A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond

coding-for-economists

This repository hosts the code behind the online book, Coding for Economists.

ma-gym

A collection of multi agent environments based on OpenAI gym.

scikit-tda

Topological Data Analysis for Python🐍

BrainPy

Brain Dynamics Programming in Python

Griddly

A grid-world game engine for game AI research

pddlgym

Convert a PDDL domain into an OpenAI Gym environment.

netrep

Some methods for comparing network representations in deep learning and neuroscience.

traj_similarity

Dynamask

This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its prediction when the data is represented in terms of time series. For more details on the theoretical side, please read our ICML 2021 paper: 'Explaining Time Series Predictions with Dynamic Masks'.

NIR

Neuromorphic Intermediate Representation reference implementation

Awesome-Pruning-at-Initialization

[IJCAI'22 Survey] Recent Advances on Neural Network Pruning at Initialization.