A framework for few-shot evaluation of autoregressive language models.

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…

A toolkit for developing and comparing reinforcement learning algorithms.

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

Minimalistic gridworld package for OpenAI Gym

Simple 3D interior simulator for RL & robotics research

Python package for implementing a number of Machine Learning, Randomized Optimization and SEarch algorithms.

RL starter files in order to immediatly train, visualize and evaluate an agent without writing any line of code

scikit-learn: machine learning in Python

Beyond the Imitation Game collaborative benchmark for enormous language models

Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Clean PyTorch implementations of imitation learning algorithms

Encoding methods for dirty categorical variables

A computer algebra system written in pure Python

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Jun 2020 scikit-learn sprint

Theano-based Deep Learning library (convnets, recurrent neural networks, and more).