Stars
DeepInfer: High-performance, large-scale inference framework for DeepSeek models
[ACL2026 Main] ShopSimulator: Evaluating and Exploring RL-Driven LLM Agent for Shopping Assistants
你的 AI 科研搭档：从论文、主题与 baseline 出发，连接文献证据、隔离实验、多种子验证与可追溯报告。AI-assisted ML research & experimentation.
Inject software vulnerabilities in codebases for dataset generation
The first JavaScript vulnerability detection benchmark framework and dataset
Security dataset of executable environments with introduced vulnerability using Vuljector
🔍 OpenSearch-VL provides a fully open recipe for training strong multimodal deep search agents through high-quality data curation, diverse visual/search tools, and fatal-aware agentic reinforcement…
Fixing GRPO training collapse in long-horizon multi-tool agents. A lightweight PRM-Lite + LATA joint approach achieves +37% over vanilla GRPO on τ-bench airline (50-task, multi-turn).
Minimal reproduction of DeepSeek R1-Zero
记录Qwen3-0.6B-Base模型的持续预训练、后训练算法。用于跑通SFT、RLHF流程。此外，应用一些新算子架构做后训练的探索。
🏥 从零基础到面试通关：20节课彻底搞懂MedicalGPT医疗大模型训练全流程 | PT/SFT/LoRA/RLHF/DPO/GRPO | 100+面试高频考点
🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。
RAGFlow is an agent-native database: a Retrieval-Augmented Generation (RAG) engine that grew into context infrastructure.
SkillOpt is a text-space optimizer that trains reusable natural-language skills for frozen LLM agents through trajectory-driven edits, validation-gated updates, and deployable best_skill.md artifacts.
🧠 Train a 64M-parameter LLM from scratch in just 2h!
Skills for Real Engineers. Straight from my .agents directory.
A book for Learning the Foundations of LLMs
The awesome collection of OpenClaw skills. 5,400+ skills filtered and categorized from the official OpenClaw Skills Registry.🦞
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Local-first desktop workspace for AI agents, with human approvals, persistent memory, scheduled tasks, and auditable execution.
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程