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generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

gensim

Topic Modelling for Humans

gmnn

grn

This is the code for the TGRS paper "Deep Spatial-Spectral Global Reasoning Network for Hyperspectral Image Denoising".

hipython

hypergan

A versatile GAN(generative adversarial network) implementation. Focused on scalability and ease-of-use.

image-denoising-state-of-the-art

improved-gan

code for the paper "Improved Techniques for Training GANs"

lda

Topic modeling with latent Dirichlet allocation using Gibbs sampling

lda-matlab

Latent Dirichlet Allocation for Matlab

lemon

LEMON: A local algorithm for fast, high-precision overlapping community detection

lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

literaturedl4graph

A comprehensive collection of recent papers on graph deep learning

mat-vae

A re-implementation of Auto-Encoding Variational Bayes in MATLAB

model-based-clustering

This is an implementation of "Model-based clustering with nonconvex penalty."

ncg-sbm

nimfa

Nimfa - A Python module for nonnegative matrix factorization

nips14-ssl

Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"

nmog_rpca

This is the matlab implementation of "Denoising Hyperspectral Image with Non-i.i.d Noise Structure"

octave-networks-toolbox

A set of graph/networks analysis functions in Octave

otmscsc_matlab_2020

pancsc-net

This is the code of "PanCSC-Net: A Model-Driven Deep Unfolding Method for Pansharpening"

personal_cv

This is my CV.

pgcu

[CVPR'23] Probability-based Global Cross-modal Upsampling for Pansharpening

plrdiff

Official codes of "Unsupervised Pansharpening via Low-rank Diffusion Model"

pmgm

This is the EM algorithm implements for PMGM and DCPMGM models. All the code are written in matlab.

pmoep

This is the implementation of "Low rank matrix factorization under general mixture noise distributions."

prmlt

Pattern Recognition and Machine Learning Toolbox

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

proximal-pannet

This is the code of "Proximal PanNet: A Model-based Deep Network for Pansharpening"