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Group documents in a hierarchy of clusters
HILB and iDIST are two efficient anonymization algorithms proposed by Gabriel Ghinita in his paper. This repository is a python implementation for HILB and iDIST.
Heterogeneous Information Network Datasets for Recommendation and Network Embedding
Detecting and visualizing community in DBLP heterogeneous information network
Topic model for expert finding in heterogeneous information network
Hierarchical Topic Model Re-estimation
Gibbs sampler for the Hierarchical Latent Dirichlet Allocation topic model
Provides functions for hierarchical latent tree analysis on text data
a set of Matlab functions for learning HMM usnig EM algorithm
Hidden Markov model with Dirichlet Process
Hierarchical Nonparametric Point Process for Modeling Content Diffusion Over Social Media
Incremental classification and regression tree learning algorithm.
Code for experiments in the AAAI 2016 paper "Holographic Embeddings of Knowledge Graphs"
镜像:https://scaffrey.coding.net/p/hosts/git / https://git.qvq.network/googlehosts/hosts
C++ code. The program is used to predict latent hot topic on the Social Network based on propagation models
How to Make a Computer Operating System in C++
Python implementation of 'Scalable Recommendation with Hierarchical Poisson Factorization'.
Hierarchical stochastic block model (HSBM)
The Hidden Markov Model Toolkit (HTK) from University of Cambridge.
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
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.