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[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
https://huyenchip.com/ml-interviews-book/
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
Library to scrape and clean web pages to create massive datasets.
Returns latest research results by crawling arxiv papers and summarizing abstracts. Helps you stay afloat with so many new papers everyday.
Claude Code dashboard with usage stats, error analysis, and sharable feature
An ongoing list of pandas quirks