Learn how to develop, deploy and iterate on production-grade ML applications.

Google Research

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

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

The fastai deep learning library

This repository is maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security,…

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

💿 Free software that works great, and also happens to be open-source Python.

A collection of various deep learning architectures, models, and tips

Companion webpage to the book "Mathematics For Machine Learning"

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

A better notebook for Scala (and more)

Open Data, more than 50 financial data. 提供超過 50 個金融資料(台股為主)，每天更新 https://finmind.github.io/

Datasets, tools, and benchmarks for representation learning of code.