Introduction to Machine Learning Systems

MiniMax-M2, a model built for Max coding & agentic workflows.

Offline, privacy-first grammar checker. Fast, open-source, Rust-powered

openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 300+ supported cars.

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

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

Example code for Fluent Python, 2nd edition (O'Reilly 2022)

Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games

Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zo

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

Creator Suite powered by Riots Replay API.

Documentation of files and formats handled by CDragon

👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla

League Director is a tool for staging and recording videos from League of Legends replays

Carla-Simulator environment compatible with Ray/Rllib

"Learning by Cheating" (CoRL 2019) submission for the 2020 CARLA Challenge

[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.

Bird-eye's view for CARLA simulator

This repo contains the Hugging Face Deep Reinforcement Learning Course.

An offline deep reinforcement learning library

A simple gym environment wrapping Carla, a simulator for autonomous driving research. The environment is designed for developing and comparing reinforcement learning algorithms. Trackable costs als…

A tool for building feature stores.

A collection of reference environments for offline reinforcement learning

A minimalist environment for decision-making in autonomous driving

A basic 2D maze environment where an agent start from the top left corner and try to find its way to the bottom left corner.

Custom version of OpenAI Gym

A toolkit for developing and comparing reinforcement learning algorithms.

Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:

[PAMI'23] TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving; [CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving