How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
The main features of linchangyi1/awesome-touch are: Awesome List, Embodied Agents and Tools.
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… changanvr/awesome-embodied-vision — Reading list for research topics in embodied vision. acgeospatial/awesome-earthobservation-code — A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite… 0xnr/awesome-analytics — This project is a curated directory of analytics frameworks and software designed to help users discover tools for… 521xueweihan/hellogithub — HelloGitHub is a centralized discovery platform and technical knowledge repository designed to help developers… 33nano/awesome-gentools.
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.
Reading list for research topics in embodied vision
HelloGitHub is a centralized discovery platform and technical knowledge repository designed to help developers identify high-quality open-source projects, libraries, and infrastructure. It functions as a structured directory that aggregates specialized development tools and educational materials, organizing them by technical domain to facilitate efficient resource discovery and professional development. The platform distinguishes itself through a community-driven curation workflow, where manual editorial oversight filters the broader software ecosystem into thematic collections. This content