pariyat Goto Github PK

gitoops

all paths lead to clouds

gitpitch

Markdown Presentations For Everyone on GitHub, GitLab, Bitbucket, GitBucket, Gitea, and Gogs.

gke-binary-auth-demo

Binary Authorization is a Google Cloud Platform (GCP) managed service that works closely with Google Kubernetes Engine (GKE) to enforce deploy-time security controls to ensure that only trusted container images are deployed. This demo deploys a GKE cluster with the Binary Authorization feature enabled, demonstrates its use.

gke-dedicated-game-server

gke-migration-to-containers

This demo provides a basic walkthrough of migrating a stateless application from running on a VM all the way to running it on Kubernetes Engine (GKE).

gke-networking-demos

This project presents a number of best practices for establishing network links between Kubernetes Engine clusters, and exposing cluster services across Google Cloud projects. You will use a set of Deployment Manager templates to create networks, subnets, vpn connections, and Kubernetes Engine clusters.

gluon-api

A clear, concise, simple yet powerful and efficient API for deep learning.

go

The Open Source Data Science Masters

golem

A Framework for Building Robust Shiny Apps

gollum

A simple, Git-powered wiki with a sweet API and local frontend.

gquant

A collection of open-source GPU accelerated Python tools and examples for quantitative analyst tasks and leverages RAPIDS AI project, Numba, cuDF, and Dask.

great_expectations

Always know what to expect from your data.

grokking-deep-learning

this repository accompanies my forthcoming book "Grokking Deep Learning"

gym

A toolkit for developing and comparing reinforcement learning algorithms.

h4i-recruitment

H4I recruitment platform

hackathon-starter

A boilerplate for Node.js web applications

hands-on-full-stack-development-with-spring-boot-2.0-and-react

Hands-On Full-Stack Development with Spring 5 and React, published by Packt

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hapi-fhir

🔥 HAPI FHIR - Java API for HL7 FHIR Clients and Servers

hdp-ansible

Automated (Ansible) installation of HDP via Ambari Blueprint

here-location-services-python

A Python client for HERE Location Services.

hl7-fhir-data-infrastructure

HL7 FHIR Data Infrastructure (SimpleSchemas, Cursors, Hooks)

hl7v2-fhir-converter

Converts HL7 v2 Messages to FHIR Resources

hol-azure-machine-learning

Introduction to Machine Learning and Azure Machine Learning Services. Hands on labs to show Azure Machine Learning features, developing experiments, feature engineering, R and Python Scripting, Production stage, publishing models as web service, RRS and BES usage

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

how_to_make_a_text_summarizer

This is the code for "How to Make a Text Summarizer - Intro to Deep Learning #10" by Siraj Raval on Youtube

how_to_make_an_image_classifier

This is the code for the "How to Make an Image Classifier" - Intro to Deep Learning #6 by Siraj Raval on Youtube

hugo

The world’s fastest framework for building websites.

image_classification_cifar-10

Image Classification on CIFAR-10 Dataset using Multi Layer Perceptrons in Python from Scratch.