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

Google Research

This repository contains the source code for the paper First Order Motion Model for Image Animation

Kubernetes community content

Code release for NeRF (Neural Radiance Fields)

Labs and demos for courses for GCP Training (https://cloud.google.com/training).

Code samples used on cloud.google.com

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K…

Code for Tensorflow Machine Learning Cookbook

The Udacity open source self-driving car project

Swift for TensorFlow

Notebooks for learning deep learning

Reference models and tools for Cloud TPUs.

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

A python library for decision tree visualization and model interpretation.

A high performance implementation of HDBSCAN clustering.

Discovering Interpretable GAN Controls [NeurIPS 2020]

High Quality Monocular Depth Estimation via Transfer Learning

Tutorials and training material for the H2O Machine Learning Platform

A few exercises for use at events.

The dataset is used to train my own raccoon detector and I blogged about it on Medium

Simple and flexible progress bar for Jupyter Notebook and console

Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

Code to compute permutation and drop-column importances in Python scikit-learn models

Google Cloud Datalab samples and documentation

Using multidimensional LSTM neural networks to create a forecast for Bitcoin price

Transformer of "Attention Is All You Need" (Vaswani et al. 2017) by Chainer.

ENet - A Neural Net Architecture for real time Semantic Segmentation