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How to Make a Computer Operating System in C++
Python implementation of 'Scalable Recommendation with Hierarchical Poisson Factorization'.
Hierarchical stochastic block model (HSBM)
Using stochastic block models for topic modeling
The Hidden Markov Model Toolkit (HTK) from University of Cambridge.
One equivalence between Expoential Latent Block Model (ELBM) and Non-negative Matrix Tri-Factorization (NMTF) with Bregman divergence.
an algorithm for mining frequent free trees
an algorithm for mining frequent rooted unordered trees
Embedding Networks Using Hyperbolic Vivaldi Algorithm
Hyperbolic Hierarchical Clustering.
Code for our KDD'2015 paper: "Influence at Scale: Distributed Computation of Complex Contagion in Networks"
Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)
Inductive graph-based matrix completion (IGMC) from "M. Zhang and Y. Chen, Inductive Matrix Completion Based on Graph Neural Networks, ICLR 2020 spotlight".
Machine Learning / Natural Language Processing / Information Retrieval
Toward a general, scaleable framework for Bayesian teaching with applications to topic models
Target-dependent Twitter Sentiment Classification with Rich Automatic Features
Interactive Knowledge Extraction tool
Incremental Learning Event Definitions
CogComp's Natural Language Processing libraries
Code for the paper "Incrementally Updated Spectral Embeddings"
Implementation and evaluation of several incremental matrix approximation algorithms
This MATLAB package implements the methods for exact incremental/decremental SVM learning, regularization parameter perturbation and kernel parameter perturbation presented in "SVM Incremental Learning, Adaptation, and Optimization" by Christopher Diehl and Gert Cauwenberghs.
Infinite Feature Selection: a Graph-based Feature Filtering Approach
An infinte multivariate categorical mixture model for cluster analysis of categorical data. Variational Inference and the mean field approximation implementation
aaai/ijcai 2017 paper
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.