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11:38
(UTC +08:00) - https://juejin.cn/user/13648712705416
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HelloAgents in Go - A production-ready agent framework
Search-R1: An Efficient, Scalable RL Training Framework for Reasoning & Search Engine Calling interleaved LLM based on veRL
Claude Code Skills and 380+ agent skills from official dev teams and the community, compatible with Codex, Antigravity, Gemini CLI, Cursor and others.
OpenResearcher: A Fully Open Pipeline for Long-Horizon Deep Research Trajectory Synthesis
A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
Gemini Nano Banana / Pro watermark maintenance tool
Transform your favorite cities into beautiful, minimalist designs. MapToPoster lets you create and export visually striking map posters with code.
Fast, Sharp & Reliable Agentic Intelligence
Sutskever 30 implementations inspired by https://papercode.vercel.app/
📚“langent”由“lang”与“agent”合并而来的学习教程
Faster Whisper transcription with CTranslate2
MedicalGPT: Training Your Own Medical GPT Model with ChatGPT Training Pipeline. 训练医疗大模型,实现了包括增量预训练(PT)、有监督微调(SFT)、RLHF、DPO、ORPO、GRPO。
EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL
Agent-R1: Training Powerful LLM Agents with End-to-End Reinforcement Learning
The absolute trainer to light up AI agents.
A MemAgent framework that can be extrapolated to 3.5M, along with a training framework for RL training of any agent workflow.
🔍大模型应用开发实战一:RAG 技术全栈指南,在线阅读地址:https://datawhalechina.github.io/all-in-rag/
Kode Agent — Design for post-human workflows. One unit agent for every human & computer task.
🎬 火宝短剧 - 基于AI的一站式短剧生成平台 《一句话生成完整短剧,从剧本到成片全自动化》 Huobao Drama - An AI-Powered End-to-End Short Drama Generator "One Sentence to Complete Drama: Fully Automated from Script to Final Video"
Bash is all you need - A nano Claude Code–like agent, built from 0 to 1
整理开源的中文大语言模型,以规模较小、可私有化部署、训练成本较低的模型为主,包括底座模型,垂直领域微调及应用,数据集与教程等。
🚀🚀 「大模型」2小时完全从0训练26M的小参数GPT!🌏 Train a 26M-parameter GPT from scratch in just 2h!
Free and Open Source, Distributed, RESTful Search Engine
An End-to-End Infrastructure for Training and Evaluating Various LLM Agents
An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & TIS & vLLM & Ray & Async RL)



