🔥 LeetCode for PyTorch — practice implementing softmax, attention, GPT-2 and more from scratch with instant auto-grading. Jupyter-based, self-hosted or try online.

🌐 Vision-Language-Action Models for Autonomous Driving: Past, Present, and Future

PyTorch code for the paper "Model-Based Imitation Learning for Urban Driving".

[CoRL'23] Parting with Misconceptions about Learning-based Vehicle Motion Planning

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

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

Motion Planning Benchmark

ConvNet learns to play Need For Speed

MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.

Using sdn and net agent to offer advanced network for container cloud platform like Kubernetes

机器人运动规划和控制相关论文，每周更新

Quadtree x Occupancy grid (map representation and path planning)

Monte Carlo Tree Search with Reinforcement Learning for Motion Planning

Basic Kalman filter implementation in C++ using Eigen

This repository contains multiple approaches for generating global racetrajectories.

Historical data on AWS DeepRacer League virtual races

Dump of all training tools used in 2019 races

Interactive detailed analysis tool for AWS DeepRacer logs

An open autonomous driving platform

DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.

Python sample codes and textbook for robotics algorithms.

A collection of resources on wait-free and lock-free programming

A set of Grafana dashboards and Prometheus alerts for Kubernetes.

An embedded key/value database for Go.

slab allocator in go

A flexible, high-performance serving system for machine learning models

📊 A simple command-line utility for querying and monitoring GPU status

collection of jupyter notebooks