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how-to-make-a-computer-operating-system

How to Make a Computer Operating System in C++

hpfrec

Python implementation of 'Scalable Recommendation with Hierarchical Poisson Factorization'.

hsbm

Hierarchical stochastic block model (HSBM)

hsbm_topicmodel

Using stochastic block models for topic modeling

htk_3_4_1

The Hidden Markov Model Toolkit (HTK) from University of Cambridge.

hybridcoclust

One equivalence between Expoential Latent Block Model (ELBM) and Non-negative Matrix Tri-Factorization (NMTF) with Bregman divergence.

hybridtreeminer_free

an algorithm for mining frequent free trees

hybridtreeminer_rooted

an algorithm for mining frequent rooted unordered trees

hypervivaldi

Embedding Networks Using Hyperbolic Vivaldi Algorithm

hyphc

Hyperbolic Hierarchical Clustering.

ic-eval

Code for our KDD'2015 paper: "Influence at Scale: Distributed Computation of Complex Contagion in Networks"

idrl

ifl-tpp

Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)

igmc

Inductive graph-based matrix completion (IGMC) from "M. Zhang and Y. Chen, Inductive Matrix Completion Based on Graph Neural Networks, ICLR 2020 spotlight".

iir

Machine Learning / Natural Language Processing / Information Retrieval

ijcai-iml-2016

Toward a general, scaleable framework for Bayesian teaching with applications to topic models

ijcai17_tianchi_rank4

ijcai2015

Target-dependent Twitter Sentiment Classification with Rich Automatic Features

ike

Interactive Knowledge Extraction tool

iled

Incremental Learning Event Definitions

illinois-cogcomp-nlp

CogComp's Natural Language Processing libraries

in-depth-vi-tutorial

inc-spectral-embeddings

Code for the paper "Incrementally Updated Spectral Embeddings"

incremental-matrix-approximation

Implementation and evaluation of several incremental matrix approximation algorithms

incremental-svm-learning-in-matlab

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.

incremental-word2vec

infinite-feature-selection

Infinite Feature Selection: a Graph-based Feature Filtering Approach

infinite_multivariate_categorical_mixture_model

An infinte multivariate categorical mixture model for cluster analysis of categorical data. Variational Inference and the mean field approximation implementation

infogain

aaai/ijcai 2017 paper

infogan