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🏛️ 三省六部制 · OpenClaw Multi-Agent Orchestration System — 9 specialized AI agents with real-time dashboard, model config, and full audit trails
Code to pretrain, fine-tune, and evaluate DreamZero and run sim & real-world evals
The awesome collection of OpenClaw skills. 5,400+ skills filtered and categorized from the official OpenClaw Skills Registry.🦞
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
Official repository of Utonia: Toward One Encoder for All Point Clouds
PointWorld: Scaling 3D World Models for In-The-Wild Robotic Manipulation
Official Implementation of "MemFlow: Flowing Adaptive Memory for Consistent and Efficient Long Video Narratives"
[NeurIPS 2025] How Many Tokens Do 3D Point Cloud Transformer Architectures Really Need?
[NeurIPS'25] Official repository of Concerto: Joint 2D-3D Self-Supervised Learning Emerges Spatial Representations
[ICLR 2026]QeRL enables RL for 32B LLMs on a single H100 GPU.
[ICLR 2026] LongLive: Real-time Interactive Long Video Generation
Pointcept: Perceive the world with sparse points, a codebase for point cloud perception research. Latest works: Utonia, Concerto (NeurIPS'25), Sonata (CVPR'25 Highlight), PTv3 (CVPR'24 Oral)
Open source repo for Locate 3D Model, 3D-JEPA and Locate 3D Dataset
[ICCV 2025 Highlight] No Pose at All: Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views
Reference PyTorch implementation and models for DINOv3
Long-RL: Scaling RL to Long Sequences (NeurIPS 2025)
Make your wildest 3D ConvNet dream architectures come true
PyTorch code and models for the DINOv2 self-supervised learning method.
[TCSVT‘24] SGIFormer: Semantic-guided and Geometric-enhanced Interleaving Transformer for 3D Instance Segmentation
VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
[CVPR 2025 Best Paper Award] VGGT: Visual Geometry Grounded Transformer
[CVPR'25 Highlight] Official repository of Sonata: Self-Supervised Learning of Reliable Point Representations
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