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An application to check anagram.
A curated list of deep learning resources for computer vision
A curated list of amazingly awesome PHP libraries, resources and shiny things.
Recurrent Neural Network - A curated list of resources dedicated to RNN
Stanford CoreNLP: A Java suite of core NLP tools.
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
sample code for several design patterns in PHP
Reading Wikipedia to Answer Open-Domain Questions
Deal or No Deal? End-to-End Learning for Negotiation Dialogues
Facebook AI Research Sequence-to-Sequence Toolkit
A library for efficient similarity search and clustering of dense vectors.
Deep learning with dynamic computation graphs in TensorFlow
Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN
Free and Open source Web Builder Framework. Next generation tool for building templates without coding
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Comprehensive RPC framework with support for C++, C#, Java, JavaScript, Python and more.
Sentence embeddings (InferSent) and training code for NLI.
A simple application for LIC test. The application can check if a string is a palindrome or an anagram of palindrome.
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
Material design for AngularJS
React Components that Implement Google's Material Design.
Material Design components for Angular
Materialize, a CSS Framework based on Material Design
Machine Learning From Scratch. Bare bones Python implementations of Machine Learning models and algorithms with a focus on transparency and accessibility. Aims to cover everything from Data Mining to Deep Learning.
Minimal and clean examples of machine learning algorithms implementations
Code for the Neural GPU model originally described in "Neural GPUs Learn Algorithms"
PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"
This is a self contained software accompanying the paper titled: Learning Longer Memory in Recurrent Neural Networks: http://arxiv.org/abs/1412.7753.
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.