Projects

### Overview: This repository is a curated list of open-source AI projects, models, tools, and infrastructure. It aims to provide useful resources for AI developers without requiring a minimum number of GitHub stars. ### Key features: - Core Frameworks & Libraries - Model Codebases & Model Families - Inference Engines & Serving - Agentic AI & Multi-Agent Systems - Retrieval-Augmented Generation (RAG) & Knowledge - Generative Media Tools - Training & Fine-tuning Ecosystem - MLOps / LLMOps & Production - Evaluation, Benchmarks & Datasets - AI Safety, Alignment & Interpretability - Specialized Domains - User Interfaces & Self-hosted Platforms - Developer Tools & Integrations - Resources & Learning ### Tech stack: Python ### Why it matters: This curated list provides essential resources for AI developers, helping them find useful models, libraries, tools, and infrastructure without requiring a minimum number of GitHub stars.

Overview: libpostal is a C library designed to parse and normalize street addresses worldwide, leveraging statistical natural language processing and open data. It aims to understand location-based strings in every language, making it a valuable tool for applications requiring international address normalization. Key features: - Addresses and locations for any application dealing with maps. - Statistical NLP and open data for accurate address normalization. - Preprocessing step for smarter, simpler, and more consistent international geocoding. Tech stack: C Why it matters: Libpostal helps convert free-form addresses into clean, normalized forms suitable for machine comparison and full-text indexing, making it essential for applications requiring international address normalization.