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A structured reading list on Vision-Language-Action (VLA) models — from diffusion/flow matching foundations through state-of-the-art robot foundation model architectures to data scaling, RL fine-tuning, and world models. Papers in reading order.
This project is a comprehensive, community-driven directory of machine learning resources, software libraries, and educational materials. It serves as a centralized knowledge base for developers and researchers, organizing tools and frameworks by their primary programming language and technical domain to simplify discovery across the artificial intelligence ecosystem. The collection distinguishes itself by providing a cross-language development index that spans diverse programming environments, including C, C++, Rust, Clojure, and Python. It covers a wide range of specialized capabilities, fr
This project is a curated directory of resources, libraries, and frameworks designed to support the development, training, and deployment of neural network models. It serves as a comprehensive guide for navigating the machine learning ecosystem, providing structured access to software utilities and research materials. The directory distinguishes itself by aggregating tools across the entire machine learning lifecycle, ranging from data management and experiment tracking to production-ready model deployment. It functions as a central hub for discovering both foundational academic research and
A collection of vision-language-action model post-training methods.
A curated list of academic papers and resources on Physical AI — focusing on Vision-Language-Action (VLA) models, world models, embodied ai, and robotic foundation models.
The main features of keon/awesome-physical-ai are: Awesome List, Curated Research Lists, Reference Lists.
Projects with overlapping indexed features include: milkclouds/awesome-vla-study — A structured reading list on Vision-Language-Action (VLA) models — from diffusion/flow matching foundations through… josephmisiti/awesome-machine-learning — This project is a comprehensive, community-driven directory of machine learning resources, software libraries, and… christoschristofidis/awesome-deep-learning — This project is a curated directory of resources, libraries, and frameworks designed to support the development,… fkromer/awesome-gazebo — Gazebo, the simulation framework for ROS1 and ROS2 is awesome! dh-tech/awesome-digital-humanities — Software for humanities scholars using quantitative or computational methods. aoqunjin/awesome-vla-post-training — A collection of vision-language-action model post-training methods.