Stars
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
My learning notes/codes for ML SYS.
Python port of part of the TypeAgent repo
This is a multidimensional N-back with many stimuli and options
The codebase for the book "AI-Powered Search" (Manning Publications, 2025)
Examples, end-2-end tutorials and apps built using Liquid AI Foundational Models (LFM) and the LEAP SDK
Uncomplicated Observability for Python and beyond! 🪵🔥
Open Source AI coding assistant for planning, building, and fixing code. We frequently merge features from open-source projects while building our own vision. Follow us: kilocode.ai/social
Embeddable library or single binary for indexing and searching 1B vectors
This course is designed to guide beginners through the exciting world of Edge AI, covering fundamental concepts, popular models, inference techniques, device-specific applications, model optimizati…
This is an experimental learning project to explore how vector databases work under the hood. Major components are being built step by step.
Visualize and analyze GitHub or local repositories using LLM-friendly summaries, file structure, and interactive dependency graphs.
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
pkuseg多领域中文分词工具; The pkuseg toolkit for multi-domain Chinese word segmentation
Interactive Redis: A Terminal Client for Redis with AutoCompletion and Syntax Highlighting.
Optimize prompts, code, and more with AI-powered Reflective Text Evolution
Go Optimization Guide: Patterns and Techniques for Writing High-Performance Applications with Go
The code used to train and run inference with the ColVision models, e.g. ColPali, ColQwen2, and ColSmol.
Recipes for learning, fine-tuning, and adapting ColPali to your multimodal RAG use cases. 👨🏻🍳
A repository listing important datasets for multimodal recommender systems
Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.