T
ThinkJEPA
Hai-chao-Zhang/ThinkJEPA
ThinkJEPA: Empowering Latent World Models with Large Vision-Language Reasoning Model
★49stars
Python
NOASSERTION
Updated: 1d ago
📋 Project at a Glance
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What's this?A , built with Python open-source project in the Models category, core strengths: computer-vision/dexterous-manipulation
Who made it?Maintained by Hai-chao-Zhang team, 49⭐ on GitHub, #3047 out of 3201 in Models
Why does it exist?In the Models space, computer-vision workflows faced efficiency bottlenecks. ThinkJEPA was built by Hai-chao-Zhang to address these dexterous-manipulation challenges.
What can it do?Key use cases: dexterous-robotic-hand, jepa, large-language-model
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/Hai-chao-Zhang/ThinkJEPA | 官网 http://www.zhanghaichao.xyz/ThinkJEPA/
🔗 github.com/Hai-chao-Zhang/ThinkJEPA | 官网 http://www.zhanghaichao.xyz/ThinkJEPA/
Topics
computer-visiondexterous-manipulationdexterous-robotic-handjepalarge-language-modellatent-world-modelmultimodalmultimodal-reasoningreasoningrepresentation-learningroboticsself-supervised-learningsemantic-guidancethinkjepavideo-modelingvideo-representationvideo-understandingvision-language-modelvlaworld-model