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Gshan4056 / self-harness
Forked from datawhalechina/self-harness本项目是关于Harness Engineering的开源教程,旨在帮助开发者理解和掌握在大模型时代,如何为复杂、长时间运行的 AI 智能体(Agent)构建健壮的底层运行架构。
本项目是关于Harness Engineering的开源教程,旨在帮助开发者理解和掌握在大模型时代,如何为复杂、长时间运行的 AI 智能体(Agent)构建健壮的底层运行架构。
Gshan4056 / harness
Forked from harness/harnessHarness Open Source is an end-to-end developer platform with Source Control Management, CI/CD Pipelines, Hosted Developer Environments, and Artifact Registries.
Harness Open Source is an end-to-end developer platform with Source Control Management, CI/CD Pipelines, Hosted Developer Environments, and Artifact Registries.
Gshan4056 / OpenHarness
Forked from HKUDS/OpenHarness"OpenHarness: Open Agent Harness with a Built-in Personal Agent--Ohmo!"
"OpenHarness: Open Agent Harness with a Built-in Personal Agent--Ohmo!"
Gshan4056 / skills
Forked from anthropics/skillsPublic repository for Agent Skills
Gshan4056 / easy-dataset
Forked from ConardLi/easy-datasetA powerful tool for creating datasets for LLM fine-tuning 、RAG and Eval
A powerful tool for creating datasets for LLM fine-tuning 、RAG and Eval
Gshan4056 / MinerU
Forked from opendatalab/MinerUTransforms complex documents like PDFs into LLM-ready markdown/JSON for your Agentic workflows.
Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.
📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
Gshan4056 / codeforces-go
Forked from EndlessCheng/codeforces-go算法竞赛模板库 by 灵茶山艾府 💭💡🎈
An AI prompt optimizer for writing better prompts and getting better AI results.
🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
Official Repo for Open-Reasoner-Zero
Gshan4056 / X-R1
Forked from dhcode-cpp/X-R1minimal-cost for training 0.5B R1-Zero
Gshan4056 / deepscaler
Forked from rllm-org/rllmDemocratizing Reinforcement Learning for LLMs
Gshan4056 / Data-Analysis
Forked from WillKoehrsen/Data-AnalysisData Science Using Python
Data Science Using Python
Qwen3-Coder is the code version of Qwen3, the large language model series developed by Qwen team.
LangGPT: Empowering everyone to become a prompt expert! 🚀 📌 结构化提示词(Structured Prompt)提出者 📌 元提示词(Meta-Prompt)发起者 📌 最流行的提示词落地范式 | Language of GPT The pioneering framework for structured & meta-prompt…
Superfast AI decision making and intelligent processing of multi-modal data.
A Comprehensive Toolkit for High-Quality PDF Content Extraction