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MilkClouds/awesome-vla-study

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Awesome Vla Study

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.

Features

  • Awesome List - A community-curated directory that catalogs and links out to other open-source projects, rather than a standalone tool you run yourself.
  • Embodied Agents and Tools - Study resources for vision-language-action models.
  • Curated Research Lists - Study materials and papers focused on vision-language-action models.
  • Reference Lists - Vision-Language-Action study curriculum.

Star 历史

milkclouds/awesome-vla-study 的 Star 历史图表milkclouds/awesome-vla-study 的 Star 历史图表

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常见问题解答

milkclouds/awesome-vla-study 是做什么的？

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.

milkclouds/awesome-vla-study 的主要功能有哪些？

milkclouds/awesome-vla-study 的主要功能包括：Awesome List, Embodied Agents and Tools, Curated Research Lists, Reference Lists。

milkclouds/awesome-vla-study 有哪些开源替代品？

milkclouds/awesome-vla-study 的开源替代品包括： keon/awesome-physical-ai — A curated list of academic papers and resources on Physical AI — focusing on Vision-Language-Action (VLA) models,… 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.

Awesome Vla Study 的开源替代方案

相似的开源项目，按与 Awesome Vla Study 的功能重合度排序。
  • keon/awesome-physical-aikeon 的头像

    keon/awesome-physical-ai

    304在 GitHub 上查看↗

    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.

    在 GitHub 上查看↗304
  • josephmisiti/awesome-machine-learningjosephmisiti 的头像

    josephmisiti/awesome-machine-learning

    72,867在 GitHub 上查看↗

    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

    Python
    在 GitHub 上查看↗72,867
  • christoschristofidis/awesome-deep-learningChristosChristofidis 的头像

    ChristosChristofidis/awesome-deep-learning

    27,569在 GitHub 上查看↗

    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

    awesomeawesome-listdeep-learning
    在 GitHub 上查看↗27,569
  • aoqunjin/awesome-vla-post-trainingAoqunJin 的头像

    AoqunJin/Awesome-VLA-Post-Training

    197在 GitHub 上查看↗

    A collection of vision-language-action model post-training methods.

    在 GitHub 上查看↗197
    • 查看 Awesome Vla Study 的所有 30 个替代方案→