Turn messy, real-world HTML into clean Markdown, from every major language.
- html-converter
- markdown-converter
- rag
- text-extraction
85,081 visible repositories in the index
625–648 of 777 · Most stars
Turn messy, real-world HTML into clean Markdown, from every major language.
Fast vectorization, topic modeling, distances and GloVe word embeddings in R.
A code repository indexing tool to supercharge your LLM experience.
🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
Ontology-Augmented Generation for AI agents.
Localize your websites with AI assistance.
Blazing fast Apple Silicon inference engine optimized for Qwen & Nemotron. OpenAI + Anthropic API compatible. Built by folks from nace.ai
pi extension: /purge swaps pi's built-in assistant persona for your own prompt file
lightweight system-level observability for AI Agents
repository for Publicly Available Clinical BERT Embeddings
Track AI API quotas across Synthetic, Z.ai, Anthropic (Claude Code), Codex, GitHub Copilot & Antigravity in real time. Lightweight background daemon (<50MB RAM), SQLite storage, Material Design 3 dashboard. Zero telemetry.
This repo offers a simple interface that helps you to read&summerize research papers in pdf format. You can ask some questions after reading. This interface is developed based on openai API and using GPT-3.5-turbo model.
A unified framework for building, evaluating, and recursively improving embodied agents. 🚀 Code release coming soon.
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
Real-time observability of claude code sessions & multi-agents.
An AI Skill Runtime for knowledge-intensive work which makes everything under your control.
37 tok/s from Qwen3-Next-80B (48 GB) on a 32 GB laptop, 24 without drafts vs 2.8 for llama.cpp; reading 62 vs 16 tok/s. Faster than llama.cpp on all 13 models compared in Q4_K_M. LLMs bigger than your RAM, pure C, CPU or GPU.
TranslatedSprix AI at 屿智同行 (Yuzhi Tongxing, "island wisdom traveling together") × 保研岛 (Baoyan Dao, "Baoyan Island") — an open-source benchmark for AI agents in Baoyan advising and application planning.
maxxing the ability to run different LLMs on the smallest devices possible
Turn any website into a compact CLI tailored for AI agents. Browse the web in hundreds of tokens, not tens of thousands.
A simple deep learning library for estimating a set of tags and extracting semantic feature vectors from given illustrations.
Run a 105 GB AI model on a Mac that can't hold it. Qwen3.8-Flash-Next 4-bit, streamed from SSD on 16–64 GB Apple Silicon Macs. Fully native Swift, MLX and Metal. Offline, no Python. CLI, Swift library, and Ollama/OpenAI/Anthropic APIs. Works with Claude Code and Codex.
Have a conversation with ChatGPT using your voice, and have it talk back.
TranslatedLet AI see your screen in real time: filter frames by the amount of change, stitch multiple frames into one image, and static screens cost almost no tokens