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

TransZero++: Cross Attribute-guided Transformer for Zero-Shot Learning

Benchmark spaces - Benchmarks of how well different two dimensional spaces work for clustering algorithms

face_recognization (FaceNet) + TFHE (HNP) + hand_face_detection (Mediapipe)

Testability-Aware Low Power Controller Design with Evolutionary Learning, ITC2021

Bayesian Image Reconstruction using Deep Generative Models

Run Keras models in the browser, with GPU support using WebGL

Playing around with FastAPI and streamlit to create a YoloV5 object detector

realsense d400 -> jpg + csv

Real-time analysis of intracranial neurophysiology recordings.

An end-to-end framework for mixed-integer optimization with data-driven learned constraints.

Code for the paper Open Sesame: Getting Inside BERT's Linguistic Knowledge.

Reinforcement learning models in ViZDoom environment

Autonomous Driving on Curvy Roads without Reliance on Frenet Frame: A Cartesian-based Trajectory Planning Method

Distributed Deep learning with Keras & Spark

MVGCN: a novel multi-view graph convolutional network (MVGCN) framework for link prediction in biomedical bipartite networks.

A Flow-based Generative Network for Speech Synthesis

Car Price Predictor App used to predict the price of the car based on certain input parameters created using python's scikit-learn, fastapi, numpy and joblib packages.

Improving Deep Network Debuggability via Sparse Decision Layers

AEI: Actors-Environment Interaction with Adaptive Attention for Temporal Action Proposals Generation

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome