Machine Learning Engineering Open Book

A playbook for systematically maximizing the performance of deep learning models.

A simple RL environment for producing mesa misalignment.

Manifold Markets: A market for every question

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning

Uplift modeling and causal inference with machine learning algorithms

Python Toolkit for Causal and Probabilistic Reasoning

Statistics-driven benchmarking library for Rust

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.