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Firebase
- San Francisco, CA
Highlights
Stars
The official Python client for the Hugging Face Hub.
This is an SDK for Google Cloud Explainable AI service. Explainable AI SDK helps users build explanation metadata for their models and visualize feature attributions returned from the model.
Source code accompanying O'Reilly book: Machine Learning Design Patterns
A game theoretic approach to explain the output of any machine learning model.
Repository for Kuzushiji-MNIST, Kuzushiji-49, and Kuzushiji-Kanji
A large collection of system log datasets for AI-driven log analytics [ISSRE'23]
Official AWS CodeBuild repository for managed Docker images http://docs.aws.amazon.com/codebuild/latest/userguide/build-env-ref.html
This repository is deprecated. All of its content and history has been moved to googleapis/google-cloud-node.
Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!
A WebGL accelerated JavaScript library for training and deploying ML models.
Protocol Buffers - Google's data interchange format
Bootstrap Kubernetes the hard way. No scripts.
Data and code behind the articles and graphics at FiveThirtyEight
This repository includes tutorials on how to use the TensorFlow estimator APIs to perform various ML tasks, in a systematic and standardised way
United States General Election Presidential Results by District, Ward, or County from 2008 to 2024
SuperComputing 2017 Deep Learning Tutorial
This repository contains several applications, demonstrating the Meltdown bug.
Python programs, usually short, of considerable difficulty, to perfect particular skills.
Interactive prompt for command-line applications
bretmcg / emotobooth
Forked from Instrument/emotoboothGCP Emotobooth experience
Auth client library for Swift command-line tools and cloud services. Supports OAuth1, OAuth2, and Google Application Default Credentials.
The dataset is used to train my own raccoon detector and I blogged about it on Medium
A few exercises for use at events.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Videos, notes and experiments to understand deep learning
Models and examples built with TensorFlow
Node.js samples for Google Cloud Platform products.