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

🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"

Official Implementation of SWAGAN: A Style-based Wavelet-driven Generative Model

realsense d400 -> jpg + csv

PyTorch implementation of Pointnet2/Pointnet++

Image Segmentation and Object Detection in Pytorch

3DV 2021: Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry

pytorch implementation of dftd2 & dftd3

Inteligência artificial criada para realizar interação social com idosos.

SIEM Logstash parsing for more than hundred technologies

Meta graph convolutional neural network-assisted resilient swarm communications

Image Data Augmentation in Keras

I-BERT: Integer-only BERT Quantization

City Surfaces: City-scale Semantic Segmentation of Sidewalk Surfaces

[ACM MM 2021] Multiview Detection with Shadow Transformer (and View-Coherent Data Augmentation)

Joint Discriminative and Generative Learning for Person Re-identification. CVPR'19 (Oral)

Normalizing Flows with a resampled base distribution

Real-world Anomaly Detection in Surveillance Videos- pytorch Re-implementation

On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation (Findings of EMNLP 2021))

Face and Body Tracking for VRM 3D models on the web.

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)