Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

Last update: Dec 28, 2022

Overview

Google Cloud AI Developer Relations

This repository contains content produced by Google Cloud AI Developer Relations for machine learning and artificial intelligence. The content covers a wide spectrum from educational, training, and research, covering from novices, junior/intermediate to advanced.

The content has been designed both for self-learning, and for being incorporating into instructional material for universities, private coding schools, and professional training. Licensed as Apache 2.0 and CC-BY, organizations are free to integrate and customize the material into their curriculum.

The repository is organized by:

Directory	Description
`handbooks`	Google (FREE) PDF softcopy of handbooks - CC-BY 4.0 license (2019)
`books`	PDF softcopy of books - preview versions
`workshops`	workshops (presentation slides and code labs) - CC-BY 4.0 license (2019)
`notebooks`	notebooks for production-grade solutions
`zoo`	tf.keras model zoo (coded in idiomatic and composable design pattern) - Apache 2.0 license
`community labs`	Labs for community participation in research

Reviewers and Contributors

We thank the following for their reviews and contributions to the Idiomatic Programmer:

Google Cloud AI - Developer Relations

Andrew Ferlitsch
Noah Negrey
Yu-Han Liu
Shahin Saadati
Torry Yang
Gonzalo Gasca Meza
Amy Unruh
Martin Gorner
Brad Miro
Tianzi Cai
Sara Robinson
Puneith Kaul
Crystal Gomes

Other Current/Former Googlers

William Barret
Sharon Maher

Google Developer Experts (GDE)

Margaret Maynard-Reid / Seattle

ML Practioners

Hobson Lane
Enoch Tetteh
Bill Liu
Miklos Toth

Disclaimer

This is not an officially supported Google product.

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

Related tags

Overview

Google Cloud AI Developer Relations

Reviewers and Contributors

Disclaimer

Owner

Google Cloud Platform

Offcial implementation of "A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction, ICCV-2021".

An implementation of the BADGE batch active learning algorithm.

Occlusion robust 3D face reconstruction model in CFR-GAN (WACV 2022)

Torchyolo - Yolov3 ve Yolov4 modellerin Pytorch uygulamasıdır

CALVIN - A benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks

RetinaFace: Deep Face Detection Library in TensorFlow for Python

Code Repo for the ACL21 paper "Common Sense Beyond English: Evaluating and Improving Multilingual LMs for Commonsense Reasoning"

Cupytorch - A small framework mimics PyTorch using CuPy or NumPy

A PyTorch Implementation of "Neural Arithmetic Logic Units"

[CVPR 2021] VirTex: Learning Visual Representations from Textual Annotations

PyTorch implementaton of our CVPR 2021 paper "Bridging the Visual Gap: Wide-Range Image Blending"

JupyterLite demo deployed to GitHub Pages 🚀

Randstad Artificial Intelligence Challenge (powered by VGEN). Soluzione proposta da Stefano Fiorucci (anakin87) - primo classificato

A Python package to create, run, and post-process MODFLOW-based models.

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

JittorVis - Visual understanding of deep learning models

TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.

Python utility to generate filesystem content for Obsidian.

SEAN: Image Synthesis with Semantic Region-Adaptive Normalization (CVPR 2020, Oral)

AI-Bot - 一个基于watermelon改造的OpenAI-GPT-2的智能机器人

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

Related tags

Overview

Google Cloud AI Developer Relations

Reviewers and Contributors

Disclaimer

Owner

Google Cloud Platform

Offcial implementation of "A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction, ICCV-2021".

An implementation of the BADGE batch active learning algorithm.

Occlusion robust 3D face reconstruction model in CFR-GAN (WACV 2022)

Torchyolo - Yolov3 ve Yolov4 modellerin Pytorch uygulamasıdır

CALVIN - A benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks

RetinaFace: Deep Face Detection Library in TensorFlow for Python

Code Repo for the ACL21 paper "Common Sense Beyond English: Evaluating and Improving Multilingual LMs for Commonsense Reasoning"

Cupytorch - A small framework mimics PyTorch using CuPy or NumPy

A PyTorch Implementation of "Neural Arithmetic Logic Units"

[CVPR 2021] VirTex: Learning Visual Representations from Textual Annotations

PyTorch implementaton of our CVPR 2021 paper "Bridging the Visual Gap: Wide-Range Image Blending"

JupyterLite demo deployed to GitHub Pages 🚀

Randstad Artificial Intelligence Challenge (powered by VGEN). Soluzione proposta da Stefano Fiorucci (anakin87) - primo classificato

A Python package to create, run, and post-process MODFLOW-based models.

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

JittorVis - Visual understanding of deep learning models

​TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.

Python utility to generate filesystem content for Obsidian.

SEAN: Image Synthesis with Semantic Region-Adaptive Normalization (CVPR 2020, Oral)

AI-Bot - 一个基于watermelon改造的OpenAI-GPT-2的智能机器人

TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.