The primary source code repository for Macaulay2, a system for computing in commutative algebra, algebraic geometry and related fields.

Macaulay2 web app with support for KaTeX and HTML output

Start with the Chempy tutorial

openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 275+ supported cars.

Webots Robot Simulator

Find optimal options spreads based on probability, return on risk, and options pricing

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas…

A lightweight, secure, and feature-rich Discord terminal client.

LLM training in simple, raw C/CUDA

Community-sourced list of papers and resources on neural simulation-based inference.

Code for NeurIPS 2022 Paper, "Poisson Flow Generative Models" (PFGM)

Tensorforce: a TensorFlow library for applied reinforcement learning

A course in reinforcement learning in the wild

Trax — Deep Learning with Clear Code and Speed

Python Implementation of Reinforcement Learning: An Introduction

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement …

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

A library of reinforcement learning components and agents

Multi-Joint dynamics with Contact. A general purpose physics simulator.

Massively parallel rigidbody physics simulation on accelerator hardware.

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

Massive Pixel Environment (MPE) is a Processing library for easily extending sketches to distributed display environments.

a collaborative software environment for large-scale tiled display systems

Interactive visualization of astronomical filters' transmission curves

21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

Jupyter notebooks in the terminal

Generalized sparse regression for continuous and discrete data

SPIDER (sparse physics-informed discovery of empirical relations) is a combination of irreducible representations, weak PDE's, and sparse regression to give simple, quantitatively accurate relations.