TIGER-AI-Lab
TIGER Lab Joined Sept 2023 View on GitHub
- Stars
- 12,634
- across 68 public repos
- Rank
- #3,058
- of 94,827 organizations, top 4%
- New on the board this week
Repositories with 50+ stars
| Rank | Repository | Language | Stars |
|---|---|---|---|
| 45,216 | Official Repo for "TheoremExplainAgent: Towards Video-based Multimodal Explanations for LLM Theorem Understanding" [ACL 2025 oral] | Python | 1,514 |
| 53,622 | OpenResearcher: A Fully Open Pipeline for Long-Horizon Deep Research Trajectory Synthesis | Python | 1,269 |
| 54,068 | Open-source benchmark for browser AI agents on daily tasks. | Python | 1,258 |
| 63,309 | A version of verl to support diverse tool use [TMLR 2026] | Python | 1,055 |
| 91,882 | This repo contains the code for "VLM2Vec / MMEB" [ICLR 2025], "VLM2Vec-V2 / MMEB-V2" [TMLR 2026], and "MMEB-V3" [COLM 2026] | Python | 704 |
| 97,204 | Code and data for "AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks" [TMLR 2024] | Jupyter Notebook | 661 |
| 142,655 | The code and data for "MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark" [NeurIPS 2024] | Python | 432 |
| 159,036 | Code and data for "MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning" [ICLR 2024] | Jupyter Notebook | 382 |
| 160,907 | official repo for "VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation" [EMNLP2024] | Python | 377 |
| 187,317 | Data and Code for Program of Thoughts [TMLR 2023] | Python | 317 |
| 190,490 | Pixel-Level Reasoning Model trained with RL [NeuIPS25] | Python | 311 |
| 221,417 | ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generation [TMLR 2024] | Python | 261 |
| 227,154 | ScholarCopilot: Training Large Language Models for Academic Writing with Accurate Citations [COLM 2025] | Python | 253 |
| 230,276 | Official repo for "LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs". | Python | 249 |
| 234,986 | Official code for Paper "Mantis: Multi-Image Instruction Tuning" [TMLR 2024 Best Paper] | Python | 243 |
| 243,319 | General Reasoner: Advancing LLM Reasoning Across All Domains [NeurIPS25] | Python | 233 |
| 279,482 | Can AI agents rebuild websites through browser exploration? | Python | 197 |
| 285,480 | The official code of "VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning" [NeurIPS25] | Python | 192 |
| 293,118 | Official code for paper "UniIR: Training and Benchmarking Universal Multimodal Information Retrievers" (ECCV 2024) | Python | 186 |
| 301,221 | A one-stop library to standardize the inference and evaluation of all the conditional image generation models. [ICLR 2024] | Python | 180 |
| 301,221 | Code for "Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate" [COLM 2025] | Python | 180 |
| 330,622 | EditReward: A Human-Aligned Reward Model for Instruction-Guided Image Editing [ICLR 2026] | Python | 161 |
| 358,176 | Official code for "MAmmoTH2: Scaling Instructions from the Web" [NeurIPS 2024] | Python | 146 |
| 360,099 | Official Repo for Paper "OmniEdit: Building Image Editing Generalist Models Through Specialist Supervision" [ICLR2025] | 145 | |
| 411,291 | Context Forcing: Consistent Autoregressive Video Generation with Long Context [ICML26] | Python | 123 |
| 439,946 | Code and Data for "Long-context LLMs Struggle with Long In-context Learning" [TMLR2025] | Python | 113 |
| 449,459 | Code for the paper "Vamba: Understanding Hour-Long Videos with Hybrid Mamba-Transformers" [ICCV 2025] | Python | 110 |
| 465,949 | Self-evolving agentic reward framework for image-editing evaluation — 47.4% on EditReward-Bench from only 100 preference demos, no reward-model training. arXiv 2605.08703. | Python | 105 |
| 484,545 | The official repo for "AceCoder: Acing Coder RL via Automated Test-Case Synthesis" [ACL25] | Python | 100 |
| 535,295 | LongBanana: An Expert-Verified Benchmark for Long-Context Multi-Reference Image Synthesis | Python | 88 |
| 560,660 | This repo contains the code for "MEGA-Bench Scaling Multimodal Evaluation to over 500 Real-World Tasks" [ICLR 2025] | Python | 83 |
| 583,141 | Quick Long Video Understanding [TMLR2025] | Python | 79 |
| 607,110 | Code and data for "StructLM: Towards Building Generalist Models for Structured Knowledge Grounding" (COLM 2024) | Python | 75 |
| 648,250 | Visual Instruction-guided Explainable Metric. Code for "Towards Explainable Metrics for Conditional Image Synthesis Evaluation" (ACL 2024) | Python | 69 |
| 671,363 | "Few-shot In-context Learning for Knowledge Base Question Answering" [ACL2023] | Python | 66 |
| 704,738 | Automatic Metric for Evaluating Generated Videos | Python | 62 |
| 713,793 | RationalRewards: a reasoning reward model for diffusion RL and test-time prompt tuning | Python | 61 |
| 834,145 | A one-stop library to standardize the inference and evaluation of all the conditional video generation models. | Python | 50 |
Among 94,827 organizations
10k–16k stars: 1,461 organizations, including TIGER-AI-Lab
Stars along the bottom, and organizations in each band on a log scale
Where the stars are
Languages
- Python 10.9k stars, 86% · 35 repos
- Jupyter Notebook 1k stars, 8% · 2 repos
When they were made
38 repos with 50+ stars, made between 2022 and 2026
Quick stats
- Next rank
- +7 stars to reach #3,055
- Next milestone
- +22,339 stars to reach the top 1%
- Public repos
- 68, 38 with 50+ stars
- Popular repos
- 29 over 100 stars, 4 over 1k stars
- Top repo
- TheoremExplainAgent, #45,216 of all repos, 12% of stars
- Smaller repos
- 544 stars from repos under 50