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Docker containers for the kimai2 web application
A library of cipher functions, derived from the book "Hacking Secret Ciphers with Python".
List of books and other resources that are related to deep learning
Deep neural network framework for multi-label text classification
An Open-source Neural Hierarchical Multi-label Text Classification Toolkit
The SNHC's patient tracking and clinic tools.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
A library for extracting tables from PDF files
A Place to write down the project ideas and to plan them
:page_with_curl: A list of practical projects that anyone can solve in any programming language.
Bayesian machine learning in Python
Machine Learning algorithms in Python
My Python Examples
Exercism exercises in Python.
Develop a full-stack web application with Python and Flask
Step by step to build apps with Python. Code files for YouTube tutorial
A pytorch implemented classifier for Multiple-Label classification
Markdown powered Knowledgebase for Nodejs
VIP cheatsheets for Stanford's CS 229 Machine Learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
This repository consists of assignments, lab works, quizzes and more. These assessments belong to the Computer Science major at Stevens Institute of Technology. The materials available in this repository are the among the popular courses offered in Computer Science major in Master of Science. This repository also consists, the solutions of all course works and projects those I solved and submitted during my graduation from Fall 2016 through Spring 2018. Note: All these exercises and assessments (given by university professors) and solutions are for references only.
TamilWikisourceEbooksReport
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
TensorFlow Tutorial and Examples for Beginners with Latest APIs
Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
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.