Stars
Official code for the ICML 2025 Oral paper "Near Optimal Decision Trees in a SPLIT Second"
Implementation of MolCLR: "Molecular Contrastive Learning of Representations via Graph Neural Networks" in PyG.
🕹️ A diverse suite of scalable reinforcement learning environments in JAX
Implementations of Deep Reinforcement Learning Algorithms and Bench-marking with PyTorch
Flappy Bird as a Farama Gymnasium environment.
Reinforcement Learning for real-time applications
Box Jump is a co-operative multi-agent reinforcement learning environment!
Real-time visualization of sentiment analysis on text input
List of awesome resources for machine learning-based algorithmic trading
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
Deep Reinforcement Learning for Portfolio Optimization
Code for the manim-generated scenes used in 3blue1brown videos
⚡ Extremely fast online playground for every programming language.
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Learn the language basics in this 10-part course.
Example Environments for the Godot RL Agents library
A community-maintained Python framework for creating mathematical animations.
Code for our repository of our paper "Double Debiased Machine Learning for Mediation Analysis with Continuous Treatments" presented at AISTATS 2025
Branches algorithm, fast AO* search for optimal sparse Decision Trees.
Source code for the paper "Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning" published at NeuRIPS '24.
A machine learning package for streaming data in Python. The other ancestor of River.
Source code for our paper "BLOB: a probabilistic model for recommendation that combines organic and bandit signals" published at KDD 2020.
Generalized Optimal Sparse Decision Trees
Generalized Optimal Sparse Decision Trees
Source code for the paper "Fast Offline Policy Optimization for Large Scale Recommendation" published at the Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23).