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PredictionIO, a machine learning server for developers and data scientists. Built on Apache Spark, HBase and Spray.
code for "Predictive representations can link model-based reinforcement learning to model-free mechanisms"
Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"
Tensorflow implementation of "The Predictron: End-To-End Learning and Planning"
Code and models accompanying "Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning"
main smart-contract and crowdsale application
Prescribed Generative Adversarial Networks
PrestaShop integration module with "Elasticsearch"
Plugin for Presto to allow addition of user functions easily
code for EMNLP 2019 paper Text Summarization with Pretrained Encoders
Pretrained ConvNets for pytorch: ResNeXt101, ResNet152, InceptionV4, InceptionResnetV2, etc.
Compilation of pre-trained deep learning models with demos and code.
Pretty Tensor: Fluent Networks in TensorFlow
Web-based viewer and editor for PAGE XML
Library with user interface elements and client-server communication classes based on Google Web Toolkit (GWT) that can be used for crowdsourcing applications.
Library for training machine learning models with privacy for training data
Various material around private machine learning, some associated with blog
Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Code for paper 'Probabilistic structure discovery in time series data'
A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
Procedurally generated adversarial examples against black-box image classifiers
Natural Language Processors
A supplementary code for Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs.
Professor X Toolkit (previously known as the Princeton Vision and Robotics Toolkit)
Official release of the ProGen models
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.