GitHub topic

grpo GitHub repositories

Explore 10 tracked GitHub repositories tagged grpo. Compare their recorded star activity and implementation languages, then follow related topics to find other projects.

Snapshot: 2026-10-28. The collection gained 179 stars since the previous daily snapshot.

Tracked repositories: 10
Total stars: 54,880
Stars gained · 7 days: +1,087
Stars gained · 30 days: +4,950

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Star activity for grpo repositories on this page
Repository	Total stars	Today	7 days	30 days
rasbt/reasoning-from-scratch	5.7K	+56	+259	+392
datawhalechina/diy-llm	1.9K	+46	+408	+512
Orchestra-Research/AI-Research-SKILLs	14.0K	+28	+247	+3,257
modelscope/ms-swift	16.0K	+24	+68	+230
walkinglabs/hands-on-modern-rl	4.8K	+14	+56	+335

Explore repositories

Showing 1–10 of 10 tracked repositories.

rasbt/reasoning-from-scratch

Implement a reasoning LLM in PyTorch from scratch, step by step

Covers pre-training data, Tokenizer, Transformer, MoE,distributed training, Scaling Laws, inference & alignment .6 progressive code assignments for full-stack LLM learning | 涵盖预训练数据、分词器、Transformer、MoE、分布式训练、缩放定律、推理与对齐，6 项渐进代码作业，掌握 LLM 全栈知识

★ 1.9K+46 todayJupyter Notebook

llm nlp

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Orchestra-Research/AI-Research-SKILLs

Comprehensive open-source library of AI research and engineering skills for any AI model. Package the skills and your claude code/codex/gemini agent will be an AI research agent with full horsepower. Maintained by Orchestra Research.

★ 14.0K+28 todayTeX

ai claude-code

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modelscope/ms-swift

Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.8, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM5.3, Gemma4, Llava, Phi4, ...) (AAAI 2025).

★ 16.0K+24 todayPython

llm deepseek

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walkinglabs/hands-on-modern-rl

🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.

★ 4.8K+14 todayJupyter Notebook

llm agent

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Haozhe-Xing/agent_learning

A systematic AI Agent development tutorial covering LLM agents, RAG, tool use, memory systems, multi-agent systems, LangChain, LangGraph, MCP, and agentic RL.｜从零开始学 AI Agent 开发 | 系统、全面、实战导向的 Agent 开发教程 | 每日自动追踪 arXiv 最新论文 | Learn AI Agent Development from Scratch

★ 627+5 todayHTML

llm mcp

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