[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)

🤗 AutoTrain Advanced

Turns Data and AI algorithms into production-ready web applications in no time.

Simple, unified interface to multiple Generative AI providers

AI agents built on Anthropic LLMs, interacting with Transport for London APIs; tutorial implementation of agent system using tool-using LLMs

AI Observability & Evaluation

OpenTelemetry Instrumentation for AI Observability

Python library for Applied Computational Supply Chain & Logistics. Unlock Neural Nets, Bayesian EOQ, Optimization, Time Series, and more for smarter decisions.

Framework for building, orchestrating and deploying multi-agent systems. Managed by OpenAI Solutions team. Experimental framework.

Official inference framework for 1-bit LLMs

Collection of awesome LLM apps with RAG using OpenAI, Anthropic, Gemini and opensource models.

A user-friendly, multi-platform GUI for managing and running CrewAI agents and tasks. Supports Conda and virtual environments, no coding needed.

Implementing a ChatGPT-like LLM from scratch, step by step

AdalFlow: The Library for LLM Applications

A high-throughput and memory-efficient inference and serving engine for LLMs

Finetune Llama 3.2, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory

Rust Bootcamp Week 2: Rust fundamentals

Meta Lingua: a lean, efficient, and easy-to-hack codebase to research LLMs.

Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

Python scraper based on AI

A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

🏅 Collection of Kaggle Solutions and Ideas 🏅

Medical Language Model fine-tuned using pretraining, instruction tuning, and Direct Preference Optimization (DPO). Progresses from general medical knowledge to specific instruction following, with …

Deepness is a remote sensing plugin that enables deep learning inference in QGIS

GenAI & LLM usecases and applications