HYSEN LABS ディレクトリ
正確な分類、検証済みメタデータ、実用的な文脈で注目プロジェクトを整理します。
Microsoft AI for Good Lab — Biodiversity research hub. Open-source AI models, edge devices, and tools for biodiversity monitoring and conservation. Your source for MegaDetector, SPARROW, PytorchWildlife, Bioacoustics, and more.
Use sidecar next to CLI agents for diffs, file trees, conversation history, and task management with td
A sleek dataset viewer built entirely by AI Agent. Supports streaming large files from WebDAV, S3, SSH, Local or Hugging Face.
NPS Enhanced — Lightweight intranet tunneling and reverse proxy with Web UI | NPS 内网穿透 反向代理 增强版 全修 新版 二开
Fully local, private and cross platform Speech-to-Text with LLM Post-processing
Scan MCP servers for potential threats & security findings.
Connect your service to Keslr: sign in with Keslr and read the verification claim that proves a user is a real, vouched-for human — plus run services reachable only by Keslr members.
[EMNLP 2024 Demo] MarkLLM: An Open-Source Toolkit for LLM Watermarking
HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training
The batteries-included, No-Code FinOps automation platform, with the AI you trust.
PWA to manage 🐑 herdr on the go. Tailnet accessible, push notifications, quick actions and more.
Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta, Zep, Graphiti, LoCoMo benchmarks, and production patterns.
Wish you could bring the iPhone Duo effect to your MacBook?
You don't write AGENTS.md. You train it with gradient descent.
Visibility into AI agent activity on endpoints, with on-device detection, optional pre-action blocking, and forensic reconstruction.
A high performance 3DGS renderer
Dynamiq is an orchestration framework for agentic AI and LLM applications
The Microsoft 365 Agent SDK simplifies building full stack, multichannel, trusted agents for platforms including M365, Teams, Copilot Studio, and Webchat.
Secure MCP runtime for AI agents to operate local machines, servers, and containers with multi-device orchestration.
A complete, structured hub for learning Artificial Intelligence — covering AI, Machine Learning, Deep Learning, and Data Science with books, roadmaps, and curated resources from beginner to advanced.