Popular GitHub Repositories for Aerial Robotics

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

? Geometric Computer Vision Library for Spatial AI

Techniques for deep learning with satellite & aerial imagery

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

Reading list for research topics in multimodal machine learning

A curated list of awesome self-supervised methods

An open source quadruped robot pet framework for developing Boston Dynamics-style four-legged robots that are perfect for STEM, coding & robotics education, IoT robotics applications, AI-enhanced robotics application services, research, and DIY robotics kit development.

An open source quadruped robot pet framework for developing Boston Dynamics-style four-legged robots that are perfect for STEM, coding & robotics education, IoT robotics applications, AI-enhanced robotics application services, research, and DIY robotics kit development.

Imitation learning algorithms with Co-training for Mobile ALOHA: ACT, Diffusion Policy, VINN

A flexible, high-performance 3D simulator for Embodied AI research.

OpenBot leverages smartphones as brains for low-cost robots. We have designed a small electric vehicle that costs about $50 and serves as a robot body. Our software stack for Android smartphones supports advanced robotics workloads such as person following and real-time autonomous navigation.

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

Massively parallel rigidbody physics simulation on accelerator hardware.

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

A modular high-level library to train embodied AI agents across a variety of tasks and environments.

A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)

[CVPR 2025] MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors

Scenarios, tutorials and demos for Autonomous Driving

An open source library and framework for deep learning on satellite and aerial imagery.

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds