Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)

An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collec…

I am sharing my Journey of 300DaysOfData in Machine Learning and Deep Learning.

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

A Latex style and template for paper preprints (based on NIPS style)

mlpack: a fast, header-only C++ machine learning library

A list of books 📚and articles 📝 for the discerning web developer to read.

Godot Engine – Multi-platform 2D and 3D game engine

Caffe: a fast open framework for deep learning.

Parsing Expression Grammar Template Library

An open autonomous driving platform

iPython Notebook files used for the ADSA Intro to Python Workshop