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A curated list of awesome Machine Learning frameworks, libraries and software.
Course Files for Complete Python 3 Bootcamp Course on Udemy
Lectures for Udemy - Complete Python Bootcamp Course
Devops Tutorial for Beginners Docker, Kubernetes, Terraform, Ansible, Jenkins and Azure Devops
This project aims to provide a generic implementation for HTML test reports.
Dive into Machine Learning with Python Jupyter notebook and scikit-learn!
Code for the book Django By Example https://www.packtpub.com/web-development/django-example
收集到的java电子书(英文版)
A library for generating fake data such as names, addresses, and phone numbers.
Framework for writing maintainable Selenium and REST API tests in Java.
A Developer Study Guide for Exam C7020-230 - IBM Watson V3 Application Development
java
Brings the popular ruby faker gem to Java
A Java library to generate random data for all sorts of things. Java random data faker
Lecture demos for Cornell CS 2043
Python coded examples and documentation of machine learning algorithms.
A collection of machine learning examples and tutorials.
List of all Important Resources for Machine Learning
Examples for using Protractor in various common scenarios.
protractor-cucumber
Demo test application and protractor tests
End to end tests written in Angular Protractor, showing examples of implementing full-featured page objects.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.