eli5
A library for debugging/inspecting machine learning classifiers and explaining their predictions
HYSEN LABS DIRECTORY
Curated repositories with precise taxonomy, verified metadata and practical context.
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Light novel reader for Android. LNReader LNReader is a free and open source light novel reader for Android, inspired by Tachiyomi.
A AI general-purpose state-space search engine, validated first on autonomous penetration testing.
Dotted thought-orb loading indicators for AI & agent UIs, 9 tuned types, two sizes, auto dark/light
Skills for teaching agents how to build on Cloudflare.
A collection of the Claude Code open source. No annotations, docs, or build tooling have been added, use claude-code-source-code for the researched and annotated version.
Learn to code securely while having fun through our popular open source in-editor experience, designed for developers, students, and anyone curious about security. Get started for free in under 2 minutes, playing right from your browser.
Ideogram 4: Open image model at the forefront of design
Project brief: Lightweight Image Video Action Generation Inference Framework. February 27, 2026: We now support FP8 and NVFP4 quantization for autoregressive video generation models (Self Forcing)!
DeepTeam is a framework to red team LLMs and AI agents.
A Unified Library for Parameter-Efficient and Modular Transfer Learning
An open-source video editor built for agents. Edits become code, code becomes video.
A Pythonic framework to simplify AI service building
A Python tool to visualize + enforce dependencies, using modular architecture 🌎 Open source 🐍 Installable via pip 🔧 Able to be adopted incrementally - ⚡ Implemented with no runtime impact ♾️ Interoperable with your existing systems 🦀 Written in rust
The Context Layer for unstructured data: typed, versioned datasets over S3, GCS, Azure
A library of enterprise-grade AI agents designed to democratize artificial intelligence and provide free, open-source alternatives to overvalued Y Combinator startups.
Practical bilingual AI prompt library for prompt engineering, work, learning, content, marketing, and everyday use.
The `npx serve` of Apple Simulators.
Keras Attention Layer (Luong and Bahdanau scores).
Deterministic execution for non-deterministic AI. It provides tasks, prompts, guides, and reports for observing how coding agents behave when working with TEAQL-based business software.