[CVPR 2026] Official repository for "SAMIX: Reinforcing SAM2 with Semantic Adapter and Reference Selecting Policy for Mix-Supervised Segmentation"
GitHub repository with 12 stars and 0 forks.
Language: Python
Topics: grpo, mix-supervised-segmentation, rl, sam2
2026-06-05: 12 stars and 0 forks.
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.6, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM4.5v, Gemma4, Llava, Phi4, ...) (AAAI 2025).
GitHub repository with 14,402 stars and 1,458 forks.
Trending score: 1.70; stars gained: +28; forks gained: +8.
Language: Python
Topics: deepseek-r1, embedding, grpo, internvl, liger, llama
[CVPR 2026] Fine-Grained GRPO for Precise Preference Alignment in Flow Models
GitHub repository with 57 stars and 0 forks.
Trending score: 0.08; stars gained: +0; forks gained: +0.
Language: Python
Topics: diffusion, grpo, reinforcement-learning, text2image
Adapting Qwen2.5-14B to Brazilian SUS clinical guidelines. Includes 2 open benchmarks (HealthBench-BR, PCDT-QA) and 8 model checkpoints from the paper's ablations.
GitHub repository with 9 stars and 2 forks.
Trending score: 0.00; stars gained: +0; forks gained: +0.
Language: Python
Topics: benchmark, brazilian-portuguese, clinical-nlp, continual-pretraining, domain-adaptation, grpo
The agent that grows with you
GitHub repository with 181,360 stars and 31,122 forks.
Trending score: 5.95; stars gained: +1,867; forks gained: +361.
Language: Python
Topics: ai, ai-agent, ai-agents, anthropic, chatgpt, claude
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
GitHub repository with 12,942 stars and 833 forks.
Trending score: 5.69; stars gained: +2,829; forks gained: +175.
Language: Python
Topics: agent, ai, anthropic, claude-code, compression, context-engineering
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GitHub repository with 27,327 stars and 2,249 forks.
Trending score: 5.52; stars gained: +1,079; forks gained: +89.
Language: Python
Topics: academic-pipeline, academic-writing, ai-research, claude, claude-code, literature-review
GitHub repository with 29,986 stars and 4,219 forks.
Trending score: 4.88; stars gained: +688; forks gained: +114.
Language: Python
Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.
GitHub repository with 4,221 stars and 528 forks.
Trending score: 4.88; stars gained: +476; forks gained: +68.
Language: Python
An opinionated list of Python frameworks, libraries, tools, and resources
GitHub repository with 301,341 stars and 28,044 forks.
Trending score: 4.60; stars gained: +518; forks gained: +24.
Language: Python
Topics: awesome, python, collections, python-frameworks, python-libraries, python-tools
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.6, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM4.5v, Gemma4, Llava, Phi4, ...) (AAAI 2025).
GitHub repository with 14,402 stars and 1,458 forks.
Trending score: 1.70; stars gained: +28; forks gained: +8.
Language: Python
Topics: deepseek-r1, embedding, grpo, internvl, liger, llama
[CVPR 2026] Fine-Grained GRPO for Precise Preference Alignment in Flow Models
GitHub repository with 57 stars and 0 forks.
Trending score: 0.08; stars gained: +0; forks gained: +0.
Language: Python
Topics: diffusion, grpo, reinforcement-learning, text2image
Implement a reasoning LLM in PyTorch from scratch, step by step
GitHub repository with 4,422 stars and 647 forks.
Trending score: 0.04; stars gained: +0; forks gained: +0.
Language: Jupyter Notebook
Topics: ai, artificial-intelligence, deep-learning, large-language-models, llms, machine-learning
Adapting Qwen2.5-14B to Brazilian SUS clinical guidelines. Includes 2 open benchmarks (HealthBench-BR, PCDT-QA) and 8 model checkpoints from the paper's ablations.
GitHub repository with 9 stars and 2 forks.
Trending score: 0.00; stars gained: +0; forks gained: +0.
Language: Python
Topics: benchmark, brazilian-portuguese, clinical-nlp, continual-pretraining, domain-adaptation, grpo