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.
Being-H is BeingBeyond's family of human-centric embodied foundation models.
The main features of beingbeyond/being-h are: Embodied Foundation Models.
Projects with overlapping indexed features include: alibaba-damo-academy/worldvla — RynnVLA-002: A Unified Vision-Language-Action and World Model. amap-cvlab/abot-manipulation — ABot-M0: VLA Foundation Model for Robotic Manipulation with Action Manifold Learning. arashakb/actquant — Official implementation of ActQuant: Sub-4-bit Action-Guided Quantization for Vision-Language-Action Models. beingbeyond/being-h0 — Being-H0: Vision-Language-Action Pretraining from Large-Scale Human Videos (ICML 2026). buoyancy99/large-video-planner — This repo provides training and inference code for the paper "Large Video Planner Enables Generalizable Robot Control". agibottech/genie-envisioner — Join our WeChat Group.
RynnVLA-002: A Unified Vision-Language-Action and World Model
ABot-M0: VLA Foundation Model for Robotic Manipulation with Action Manifold Learning
Official implementation of ActQuant: Sub-4-bit Action-Guided Quantization for Vision-Language-Action Models
