Portfolio concentration
46%
Top three share
Shows whether the organization is driven by one breakout repo or several visible projects.
Breadth
30 repos
Visible snapshot
21 repositories updated in the last 90 days.
Leading language
Python
Portfolio mix
Python (26), C (1), Unknown (1)
Average size
309
Stars per repository
Useful for distinguishing one flagship-heavy publisher from a repeatable portfolio.
46%
of the visible star count comes from this organization's top three repositories.
309
stars per repository in this same snapshot.
Python
is the most common language here, with 21 repositories updated in the last 90 days.
Why this rank
This organization stands out because its public portfolio is relatively balanced across 30 repositories.
Organization pages work best when you separate portfolio breadth from flagship concentration. In Tencent-Hunyuan's case, the visible top three repositories account for about 46% of total stars in this snapshot, which helps explain whether the organization is known for one breakout project or for a broader repeatable portfolio.
The dominant language mix here is Python (26), C (1), Unknown (1). That makes this page useful not just for popularity checks, but also for seeing what technical shape an organization's public ecosystem actually has.
| # | Repository | Language | Stars |
|---|---|---|---|
| 1 | tencent-hunyuan/HY-World-2.0 HY-World 2.0: A Multi-Modal World Model for Reconstructing, Generating, and Simulating 3D Worlds | Python | 2.5K |
| 2 | tencent-hunyuan/OmniWeaving Official Implementation of OmniWeaving: Towards Unified Video Generation with Free-form Composition and Reasoning | Python | 894 |
| 3 | tencent-hunyuan/UniRL UniRL is a Framework for Unified Multimodal Model Reinforcement Learning | Python | 883 |
| 4 | tencent-hunyuan/HY-Embodied HY-Embodied: Embodied Foundation Models for Real-World Agents | Python | 843 |
| 5 | tencent-hunyuan/HY-SOAR HY-SOAR:Self-Correction for Optimal Alignment and Refinement in Diffusion Models | Python | 741 |
| 6 | tencent-hunyuan/Hy3 Hy3 (295B A21B), a leading reasoning and agent model in its size, with great cost efficiency. | Python | 573 |
| 7 | tencent-hunyuan/Hy-MT2 | Python | 516 |
| 8 | tencent-hunyuan/Hy3-preview Hy3 preview (295B A21B), a leading reasoning and agent model in its size, with great cost efficiency | Python | 460 |
| 9 | tencent-hunyuan/HY3D-Bench | Python | 350 |
| 10 | tencent-hunyuan/HY-WU HY-WU (Part I): An Extensible Functional Neural Memory Framework and An Instantiation in Text-Guided Image Editing | Python | 297 |
| 11 | tencent-hunyuan/Hy-Embodied-0.5-VLA From Vision-Language-Action Models to a Real-World Robot Learning Stack | Python | 247 |
| 12 | tencent-hunyuan/HiLS-Attention Official code for HiLS-Attention | Python | 138 |
| 13 | tencent-hunyuan/SAGE-GRPO Official Implementation of SAGE-GRPO:Manifold-Aware Exploration for Reinforcement Learning in Video Generation | Python | 127 |
| 14 | tencent-hunyuan/Hy-Embodied-RxBrain-1.0 RxBrain: Embodied Cognition Foundation Model with Joint Language-Visual Reasoning and Imagination | Python | 124 |
| 15 | tencent-hunyuan/Hyra-results Research artifacts from Hyra (/ˈhaɪ.rɑː/) | Python | 121 |
| 16 | tencent-hunyuan/GradLoc Implementation of GradLoc from the Tencent Hunyuan blog "Stabilizing RLVR via Token-level Gradient Diagnosis and Layerwise Clipping". | Python | 105 |
| 17 | tencent-hunyuan/HY-Embodied-0.5-X HY-Embodied-0.5-X: An Enhanced Embodied Foundation Model for Real-World Agents | Python | 66 |
| 18 | tencent-hunyuan/GEAR | Python | 65 |
| 19 | tencent-hunyuan/R-DMesh [SIGGRAPH2026] Official code for SIGGRAPH2026 paper: R-DMesh: Video-Guided 3D Animation via Rectified Dynamic Mesh Flow | Python | 48 |
| 20 | tencent-hunyuan/Twins [ICML 2026] Twins: Learn to Predict Unified Representations with Focal Loss | Python | 35 |
| 21 | tencent-hunyuan/Hy-Embodied-RoboFusion | C | 34 |
| 22 | tencent-hunyuan/UniCom | Python | 33 |
| 23 | tencent-hunyuan/PlanningBench | 25 | |
| 24 | tencent-hunyuan/DisCa DisCa: Accelerating Video Diffusion Transformers with Distillation-Compatible Learnable Feature Caching | Python | 24 |
| 25 | tencent-hunyuan/Precise | Python | 14 |
| 26 | tencent-hunyuan/Hunyuan3D-Buffalo1.0 | HTML | 8 |
| 27 | tencent-hunyuan/Rosetta-inference Open-source native multimodal pretraining — without catastrophic forgetting. | Python | 7 |
| 28 | tencent-hunyuan/RepoProbe Benchmark for repository-level code understanding: 500 open-ended questions from real GitHub Discussions across 50 repositories, graded by a checklist-based verification protocol (ASE 2026) | Python | 1 |
| 29 | tencent-hunyuan/Hunyuan3D-WorldClaw | TypeScript | 0 |
| 30 | tencent-hunyuan/VisualNeedle | Python | 0 |
Total stars are useful as a discovery signal, but they do not tell you whether a team maintains every repository equally. Pair this page with release cadence, maintainer activity, and the flagship concentration shown above before making adoption decisions.
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