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Transformer of "Attention Is All You Need" (Vaswani et al. 2017) by Chainer.
Attentive Group Recommendation
Vertex nomination on text-attributed graphs.
An autoencoder built specifically to work with and understand how networks learn on natual language data
Curated list of 2vec-type embedding models
A curated list of community detection research papers with implementations.
A curated list of awesome resources on crowdsourcing and online behavioral experiments
A collection of research papers on decision, classification and regression trees with implementations.
The most cited deep learning papers
A curated list of gradient boosting research papers with implementations.
A curated list of awesome Machine Learning frameworks, libraries and software.
A curated list of network embedding techniques.
A collection of papers and readings for non-convex optimization
An awesome list of high-quality open datasets in public domains (on-going). By everyone, for everyone.
A curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.
Code for "Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction." Stephen H. Bach, Bert Huang, Ben London, and Lise Getoor. Uncertainty in Artificial Intelligence (UAI) 2013
The raw mondrian is designed for numerical attributes. When comes to categorical attributes, Mondrian needs to transform categorical attributes to numerical ones. This transformations is not good for some applications. In 2006, LeFevre proposed basic Mondrian, which support both categorical and numerical attributes. This repository is an implementation for basic Mondrian.
An introduction series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
Bayesian Gaussian mixture models in Python.
Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)
Notebooks about Bayesian methods for machine learning
Learning hyperparameters in Bayesian models by matching moments of prior predictive distributions.
Papers for Bayesian-NN
Sentiment analysis over IMDB-movie reviews and Twitter data using Logistic regression and Naive Bayes' classifiers from Python’s machine learning package: scikit-learn.
Machine learning library currently supporting convolutional neural networks and fast k-means clustering.
Block-Coordinate Frank-Wolfe Optimization for Structural SVMs
in progress
behaviac is a framework of the game AI development, and it also can be used as a rapid game prototype design tool. behaviac supports the behavior tree(BT), finite state machine(FSM) and hierarchical task network(HTN). Behaviors can be designed and debugged in the designer, exported and executed by the game. The designer can only run on the Windows platforms. The run time library is implemented with C++ and C#, and it supports all major platforms (Windows, Linux, Android, iOS, Unity etc.) and Unity. The C++ version is suitable for the client and server side.
Behavior-Driver-Development for multi-user web/email/sms applications
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.