wyatty

ARC-AGI

The Abstraction and Reasoning Corpus

sacred

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

dynamics-aware-embeddings

Official implementation of DynE, Dynamics-aware Embeddings for RL

bsuite

bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent

garage

A toolkit for reproducible reinforcement learning research.

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

DeepMimic

Motion imitation with deep reinforcement learning.

website

mujoco-py

MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.

DeepRLHacks

Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)

pybullet-gym

Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.

homework

Assignments for CS294-112.

oyster

Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)

awesome-architecture-search

A curated list of awesome architecture search resources

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

fast_align

Simple, fast unsupervised word aligner

dm2gym

Convert DeepMind Control Suite to OpenAI gym environments.

OpenNMT-tf

Neural machine translation and sequence learning using TensorFlow

agents

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

nmt

TensorFlow Neural Machine Translation Tutorial

XLM

PyTorch original implementation of Cross-lingual Language Model Pretraining.

adv-eval-paper

LaTeX source for the paper "On Evaluating Adversarial Robustness"

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

lime

Lime: Explaining the predictions of any machine learning classifier

hanabi-learning-environment

hanabi_learning_environment is a research platform for Hanabi experiments.

or-tools

Google's Operations Research tools:

gym

A toolkit for developing and comparing reinforcement learning algorithms.

hierarchical_IL_RL

Code for hierarchical imitation learning and reinforcement learning

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.