Complete code to deploy a trained ML model into a Docker container and create an API with Flask

Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes

A collection of high-quality models for the MuJoCo physics engine, curated by Google DeepMind.

SAPIEN Manipulation Skill Framework, a GPU parallelized robotics simulator and benchmark

Use of vision models to play a "pictionary" style draw-guessing.

A Go (Golang) Backend Clean Architecture project with Gin, MongoDB, JWT Authentication Middleware, Test, and Docker.

ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation

Rocket-recycling with Reinforcement Learning

ROS 2 enabled 2D mobile robot simulator for behavior prototyping.

🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning

Deep learning for dummies. All the practical details and useful utilities that go into working with real models.

LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping

RX1 humanoid robot ROS1 pacakge

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

Code for "SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning" by Zolman et al.

A self driving machine learning algorithm

Material for gpu-mode lectures

Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)

Parameterize Python scripts/notebooks all from the command line and run on cloud GPUs

Automate code reviews, patching and documentation with self-hosted LLM workflows.

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019

Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code

Colab notebooks part of the documentation of Stable Baselines reinforcement learning library

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

An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities