TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

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

Google Research

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.

The fastai deep learning library

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

This repository contains implementations and illustrative code to accompany DeepMind publications

Google Brain AutoML

Create delightful software with Jupyter Notebooks

A better notebook for Scala (and more)

Bayesian optimization in PyTorch

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

Practical assignments of the Deep|Bayes summer school 2019

組織横断的にチームを組成し、機械学習による成長サイクルを実現する計画を立てるワークショップ

A simple implementation of MuZero algorithm for connect4 game

Benchmark Benchmark Benchmark!