Lists (4)
Starred repositories
A directory of skills for AI agents
Just enough Kubernetes for you to fly
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
This is a repo with links to everything you'd ever want to learn about data engineering
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus Agent Tools, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae…
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
FastAPI framework, high performance, easy to learn, fast to code, ready for production
A model context protocol server that connects to Anki through AnkiConnect
Data engineering study group for the data engineering specialization by Deeplearning AI
A curated list of free courses with certifications. Also available at https://free-certifications.com/
TWIX is an open-source data extraction tool that reconstructs structured data from documents at scale, accurately and at low cost, by inferring the shared underlying visual template across documents
Tool for generating high quality Synthetic datasets
A system for agentic LLM-powered data processing and ETL
Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning
Python tool for converting files and office documents to Markdown.
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
code for Data Science From Scratch book
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…
A Kubernetes deployable instance of GroundX for document parsing, storage, and search.
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)