📈 GH Trending Explorer 🎲 Surprise me
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).

★ 16k Python today
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.

★ 14k TeX 9d ago
OpenPipe / ART

Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.6, GPT-OSS, Llama, and more!

★ 11k Python today
oumi-ai / oumi

Easily fine-tune (SFT/RL), evaluate, and deploy Qwen, Gemma, or any open agentic LLM/VLM!

★ 9.4k Python today
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.

★ 4.7k Python today
datawhalechina / diy-llm

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

★ 1.5k Jupyter Notebook 11d ago
JudgmentLabs / judgeval

The Continuous-Improvement Stack for Agents. Our environment data and evals power agent improvement and monitoring.

★ 1.1k Python today
whitecircle / halo

Halo is an open-source framework built by White Circle for training large language and multimodal models

★ 829 Python today
redai-studio / Relax

An Asynchronous Reinforcement Learning Engine for Omni-Modal Post-Training at Scale

★ 649 Python today
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

★ 609 HTML 3d ago
adithya-s-k / FineEnvs

FineEnvs — RL Environments 101: building and scaling RL environments in the age of LLMs

★ 520 Python 3d ago
DaoyuanLi2816 / mini-verl

verl for a single consumer GPU. PPO, GRPO and on-policy distillation on NVIDIA GPUs.

★ 307 Python 1mo ago
michaelc-yu / cs336-llm-systems

Large language model systems implementation and optimization: Transformers, BPE tokenization, FlashAttention, Triton, distributed training, GPU profiling, and GRPO reasoning RL

★ 42 Python 24d ago
haha-yuki-haha / AUGUstus

🚗 AUGUstus: Autonomous Driving VLA Model with Unified Generation and Understanding. 🏋️ 512 H800 GPUs · ~2 days · 318K+ video hours · 513B+ training tokens. ⚡ 12 Hz on-vehicle deployment. SFT + GRPO + NAVSIM.

★ 37 Python 5d ago
stonewst / P2T

P2T: Unlocking Token Rewards via Training-Free Reward Attribution (CVPR 2026) - official code

★ 35 Python 2d ago
zsxm1998 / awesome-perception-aware-rlvr

Unified reproductions, benchmarking & evaluation for perception-aware RLVR and OPD in VLMs. 19 methods · 30+ benchmarks · Official code of CGPO (ACM MM 2026 Oral).

★ 33 Python 1d ago
LGAI-Research / PCBWorld

A reinforcement learning environment for PCB autorouting, built on KiCad's push-and-shove router. Includes a decoder-only PPO/GRPO agent, LLM tool-calling and rule-based baselines, and a uniform 3-stage evaluation pipeline. The routing engine ships separately as the PCBWorld-Engine submodule (GPLv3).

★ 31 Python today
waltstephen / UMM-Reflection

Learning Native Reflection in Unified Models: reflection SFT and multi-round Flow-GRPO RL for BAGEL

★ 31 Python today
zhiyuxu03 / AV-GRPO

Official implementation of AV-GRPO: dataset, training, and inference.

★ 28 Python 15d ago
VeRITAS-wuren / OpenCSR

An explainable and reproducible post-training system for tool-using customer service agents with SFT, GRPO, verl and vLLM.

★ 26 Python 2mo ago
just-a-go / SOVA

Official implementation of SOVA: Strict Outcome-Conditioned Virtual Advantages for Video Reasoning. Correctness-oriented calibration for TW-GRPO without extra rollouts.

★ 26 Python 1mo ago