EDDiscovery
Captains log and 3d star map for Elite Dangerous
HYSEN LABS VERZEICHNIS
Kuratierte Repositories mit präziser Taxonomie, geprüften Metadaten und praktischem Kontext.
Captains log and 3d star map for Elite Dangerous
ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector
VLESS+XHTTP+TLS Auto-Installer for Ubuntu — Vercel / Netlify relay
Zero-copy, content-addressed Rust build cache for Rust, C/C++ and more. No copies, no wasted disk — just hardlinks locally and S3 for sharing.
Backend that powers the dataset viewer on Hugging Face dataset pages through a public API.
Croissant is a high-level format for machine learning datasets that brings together four rich layers.
Turn vague or complex Codex tasks into strong `/goal` commands with outcome, verification, constraints, boundaries, iteration policy, completion evide
Projektüberblick: Open-Source-Video-/Audio-Editor auf Transkriptbasis, der im Browser läuft.
Open karaoke party system
An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
A code-driven presentation generation framework. 像构建软件工程一样生成演示文稿。
A simple but powerful self-hosted finance tracker
A self-hostable personal AI agent with vector memory, Composio tools, and Telegram.
Atom Agent, Open-Source Governed AI Agent Platform for Self-Hosted Automation
科研绘图skill、论文绘图skill、图片转visio等可编辑格式,将生成图转化为论文可编辑图,便于作者调整绘图细节
AgentChat 是一个基于 LLM 的智能体交流平台,内置默认 Agent 并支持用户自定义 Agent。通过多轮对话和任务协作,Agent 可以理解并协助完成复杂任务。项目集成 LangChain、Function Call、MCP 协议、RAG、Memory、HITL、Skill、Milvus 和 ElasticSearch 等技术,实现高效的知识检索与工具调用,使用 FastAPI 构建高性能后端服务。
A self-hosted web dashboard for the Hermes AI agent stack. Provides a browser-based terminal, file explorer, session overview, cron management, system metrics, and an agent status panel — all behind a single password gate.
Open deep learning compiler stack for Kendryte AI accelerators ✨
面向 iOS 定位服务行为研究和开发测试的虚拟定位工具,支持地图选点、本地与第三方代理、WGS-84 / GCJ-02 双坐标、环境检测和问题诊断。
A minimalist SOTA LaTeX OCR model with only 20M parameters, running in browser. Full training pipeline available for self-reproduction. | 超轻量SOTA LaTeX公式识别模型,仅20M参数量,可在浏览器中运行。训练全流程代码开源,以便自学复现。