A collection of MCP servers.

ViT Prisma is a mechanistic interpretability library for Vision Transformers (ViTs).

CLIP is an open source, multimodal computer vision model and it's awesome!

Scan for React performance issues and eliminate slow renders in your app

Background Music, a macOS audio utility: automatically pause your music, set individual apps' volumes and record system audio.

Gödel Agent: A Self-Referential Agent Framework for Recursive Self-Improvement

Simple vector quantization utilities and functions.

PDF to Markdown with vision models

Model Context Protocol Servers

A Lightweight Library for AI Observability

🦛 CHONK your texts with Chonkie ✨ - The no-nonsense RAG chunking library

A PyTorch implementation of Parametric UMAP (Uniform Manifold Approximation and Projection) for learning low-dimensional parametric embeddings of high-dimensional data

AI model evaluation with a focus on healthcare

Pre-train Static Word Embeddings

Document to Markdown OCR library with Llama 3.2 vision

VectorHub is a free, open-source learning website for people (software developers to senior ML architects) interested in adding vector retrieval to their ML stack.

A library for mechanistic interpretability of GPT-style language models

Official Code Repository for LM-Steer Paper: "Word Embeddings Are Steers for Language Models" (ACL 2024 Outstanding Paper Award)

Animation engine for explanatory math videos

A lightweight frontend app using transformers.js showcasing the use of semantic similarity for geospatial applications such as geosocial media. Building on Overturempas Places, dynamically loading …

Node.js + JavaScript reference client for the Realtime API (beta)

Faster Whisper transcription with CTranslate2

code for training & evaluating Contextual Document Embedding models

A single static file as vector database, using the cloud-native flatgeobuf file format and http range requests

Graphing SBOM's Fast.

Low latency, High Accuracy, Custom Query routers for Humans and Agents. Built by Prithivi Da

cuML - RAPIDS Machine Learning Library