347 Open source projects that are alternatives of or similar to Keras Cloud Ml Engine

A Node.js server for Google Assistant (and Google Home).

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

CLI tool to generate terraform files from existing infrastructure (reverse Terraform). Infrastructure to Code

Terraform Google Cloud Platform provider

🔥 List of Firebase talks, tools, examples & articles! Translations in 🇬🇧 🇷🇺 Contributions welcome!

ManageIQ Open-Source Management Platform

Unofficial Native Go Runtime for Google Cloud Functions

A MNIST-like fashion product database. Benchmark 👇

CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art

Any Airflow project day 1, you can spin up a local desktop Kubernetes Airflow environment AND one in Google Cloud Composer with tested data pipelines(DAGs) 🖥 >> [ 🚀, 🚢 ]

TensorFlow2教程 TensorFlow 2.0 Tutorial 入门教程实战案例

JHipster Microservices Example using Spring Cloud, Spring Boot, Angular, Docker, and Kubernetes

A free audio dataset of spoken digits. Think MNIST for audio.

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)

Google Cloud Tools for Visual Studio

Automatically generate Google Cloud Platform support for OSS IaaC Projects

Google Street View House Number(SVHN) Dataset, and classifying them through CNN

A collection of samples for Knative Serving, Knative Eventing and Knative-GCP projects.

A Vault swiss-army knife: a K8s operator, Go client with automatic token renewal, automatic configuration, multiple unseal options and more. A CLI tool to init, unseal and configure Vault (auth methods, secret engines). Direct secret injection into Pods.

[ISBI'21] MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis

gRPC load-balancing on GKE using Envoy

Handwritten digits classification from MNIST with TensorFlow on Android; Featuring Tutorial!

A Tutorial for Serving Tensorflow Models using Kubernetes

Everything about programming!!

Esper instance for TV news analysis

Data Augmentation by Backtranslation (DAB) ヽ( •_-)ᕗ

Minimal and free Kubernetes distribution with Terraform

(Deprecated) Unofficial Google Actions Java SDK - for Android engineers and all Java lovers

Deep generative models implemented with TensorFlow 2.0: eg. Restricted Boltzmann Machine (RBM), Deep Belief Network (DBN), Deep Boltzmann Machine (DBM), Convolutional Variational Auto-Encoder (CVAE), Convolutional Generative Adversarial Network (CGAN)

Plugin to support the Google Cloud Platform in IntelliJ IDEA - Docs and Issues Repository

Real-time Number Recognition using Apple's CoreML 2.0 and MNIST -

Simple python/streamlit web app for European option pricing using Black-Scholes model, Monte Carlo simulation and Binomial model. Spot prices for the underlying are fetched from Yahoo Finance API.

CQRS/ES toolkit for Go

A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.

Funnel is a toolkit for distributed task execution via a simple, standard API.

Docker images and scripts to deploy to Google Cloud

A tool for managing secrets on Google Cloud

Socket.io adapter for Google Pub/Sub, allowing to setup a socket.io cluster

Open-source Airtable-like experience for your database (Firestore) with GCP's scalability. Build any automation or cloud functions for your product. ⚡️✨

tensorflow implementation of Exploring Randomly Wired Neural Networks for Image Recognition

Build deep learning applications in a new and easy way.

Comparison of Generative Models in Tensorflow

This service is meant to simplify running Google Cloud operations, especially BigQuery tasks. This means you do not have to worry about installation, configuration or ongoing maintenance related to an SDK environment. This can be helpful to those who would prefer to not to be responsible for those activities.

Layers Outputs and Gradients in Keras. Made easy.

minimalistic init system for containers with AWS/GCP secrets support

Label Embedding Network

End to End Machine Learning with Google Cloud Platform

A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.

In this part, I've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)

PyTorch tutorials A to Z

Theano implementation of XNOR-Net

Get up and running with Jenkins on Google Kubernetes Engine

Machine Learning Toolkit for Extreme Scale (MaTEx)

Use Firebase tools to incorporate common features into your games!

Create declarative cluster specifications for your managed Kubernetes vendor (GKE, AKS)

GPU Accelerated t-SNE for CUDA with Python bindings

AoE (AI on Edge，终端智能，边缘计算) 是一个终端侧AI集成运行时环境 (IRE)，帮助开发者提升效率。