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eshopping

Clean Architecture Microservices example of .Net Core

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

express-basic-restapi

A basic crud REST API for beginners

flasky

Companion code to my O'Reilly book "Flask Web Development", second edition.

fullstack-nanodegree-vm

fullstackopen-2019.github.io

get-programming-with-nodejs

Code samples for Get Programming with Node.js (See verhagen's VM setup for exercises in this book: https://github.com/verhagen/get-programming-with-nodejs)

gitdjango

go-libp2p-crypto

Various cryptographic utilities used by ipfs

grammars-v4

Grammars written for ANTLR v4; expectation that the grammars are free of actions.

gs-spring-boot

Build & Release an Application with Spring Boot using Azure DevOps

hello-world

Curso Fundamentos de Android Hello-World

hhvm

A virtual machine for executing programs written in Hack.

holamundo

hpc-python

Python in High Performance Computing

hyperblog

Un blog increíble para el curso de Git y Github de Platzi

hyperskill-project1

improving-machine-learning-and-deep-learning-techniques-using-quantum-computers

Stefano Biondi M.Sc. Thesis in Data Science Repository

interpretable-machine-learning-with-python

Interpretable Machine Learning with Python, published by Packt

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

introtopython

Files associated with our book Intro to Python for Computer Science and Data Science

isep

java-banking-account

jina

Cloud-native neural search framework for 𝙖𝙣𝙮 kind of data

ka-materials

The projects and the materials that accompany the Kotlin Apprentice book.

kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

learn-co-sandbox

ludwig

Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.

machine-learning-nanodegree

machine-learning-samples

Sample applications built using AWS' Amazon Machine Learning.