YW81

Image-Inverse-Problems-Algorithms

Collection of inverse problems in image processing via Alternating Direction Method (ADM), Alternating Minimization Method (AMA), Group Sparse signal denoising and Majorization-Minimization optimization based image/signal processing

TGRS17-SGSNMF

TGRS17-Spatial Group Sparsity Regularized NMF for Hyperspectral Unmixing

AANMF

awesome-community-detection

A curated list of community detection techniques.

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

BayesianFuzzyClustering

TFS15-Bayesian Fuzzy Clustering Algorithms

CNMF_E

Constrained Nonnegative Matrix Factorization for microEndoscopic data

Composite-Quantization-for-Approximate-Nearest-Neighbor-Search

Implemented the Composite Quantization algorithm for Nearest Neighbor search and performed analysis on SIFT, GIST and MNIST datasets.

Convolutional-NMF

Convolutional Non-Negative Matrix Factorization for Narrowband Speech Extension

DAML

Deep Adversarial Metric Learning

DANMF

Deep Autoencoder-like NMF

Data-Mining

All data mining practice with Matlab

Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

DeSCI

Rank Minimization for Snapshot Compressive Imaging (TPAMI'18)

DMCmatlab

Diffusion Model for Conflict Tasks, CP15-Automatic and controlled stimulus processing in conflict tasks: Superimposed diffusion processes and delta functions

face-and-voice-recognition-with-blind-source-separation

This script can recognize multiple faces and voices based on Blind Source Separation (BSS) method that is called Independent Vector Analysis (IVA).

free-books

互联网上的免费书籍

FSCNMF

An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".

Graph-Sparse-Logistic-Regression

An algorithm for classification from a graph-sparse support

High-gamma-FB-CSP-Transfer-Learning

Implements High-Gamma dataset decoding using Filter Bank Common Spatial Pattern with rLDA classification and Neural Networks.

kamfadm

Fairness-aware Data Mining

KDD04-empirical-analysis-of-MTL

Code and data used to conduct an empirical analysis of regularised multi-task learning methods.

KDD18-MTL-VSTG

Variable Selection and Task Grouping for Multi-Task Learning (VSTG-MTL)

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1000+页)和视频链接

metric-learn

Metric learning algorithms in Python

MKL-Python

A Python Multiple kernel learning library.

Multiple-Graph-Spectral-Clustering

multi graph SC

NMF-Source-Extraction

NMF pipeline for CA source extraction

SMLR_Python

Python_Sparse Multinomial Logistic Regression (SMLR)

SSL-Paper-Code

Notes and codes of the topic "Semi-supervised learning"