Build a Jekyll blog in minutes, without touching the command line.

Refine high-quality datasets and visual AI models

Omniscient Mozart, being able to transcribe everything in the music, including vocal, drum, chord, beat, instruments, and more.

A software for causal probabilistic programming and inference.

A game theoretic approach to explain the output of any machine learning model.

Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed causal structure.

Design your own matplotlib stylefile interactively

CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning

Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.

A community-maintained Python framework for creating mathematical animations.

Animation engine for explanatory math videos

An installation and dependency system for Python

A Python toolkit used to train reinforcement learning algorithms against arcade games

A curated list of awesome mathematics resources

Overcoming catastrophic forgetting with hard attention to the task

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

This repository contains levels for boxoban, a box-pushing puzzle game inspired by Sokoban.

Efficient PyTorch Hessian eigendecomposition tools!

Software for the AutoRally platform

Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"

TensorFlow-based neural network library

The zero configuration build tool for the web. 📦🚀

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

Deep universal probabilistic programming with Python and PyTorch

Openai Gym with Dart support

Retro Games in Gym

Scenarios, tutorials and demos for Autonomous Driving