gjlper

PGM-1

Algorthims I had implemented for Probability Graphical Models course at IIT - Delhi

Data-Structures-and-Algorithm-Analysis-in-C

A good book by Mark Allen Weiss.

CoCo

This is the CoCo Virtual Machine Source Code.

cluster

C++ implementation of the clustering algorithm 聚类算法的c++实现

CSToolbox

Python Toolbox for Compressive Sensing

liveness_detection

a liveness detection system with flashlight. developed by 叶曦，刘云，周立旺，岳大禹

variational-inference

Tutorials, code, research, images related to variational inference for my thesis

1

nufftpy

Experimenting with pure-Python implementation of the NUFFT

ADMM

examples/code for the alternating direction method of multipliers (ADMM)

CSE-527-Computer-Vision-SBU

Computer Vision Assignments

tinycs

minimal MATLAB-based compressed sensing MRI toolkit

SelfSimSR

Exploiting Self-Similarities for Single Frame Super-Resolution (ACCV 2010)

GHPBasedImageRestoration

ImageRestoration， my code 140910

CSNet

The deep Learning network based on Compressive Sensing

ismrm_sunrise_matlab

Source code for the ISMRM Sunrise Recon Course

CMU.10708.HW4

Gibbs Sampling and Metropolis-Hastings for Mixture of Gaussians + Variational Inference for Latent Dirichlet Allocation (LDA)

pyLDA

python实现的LDA算法

HMM

隐马尔科夫模型进行中文分词 python

svm_struct_tagger

Part-of-speech tagger based on Structured SVM with adaptive SGD solver

matlab-toolboxes

Contains all my Matlab toolboxes.

PGM

Probability Graphical Model

UFLDL_PCA-2D

Implementation of PCA, PCA whitening and ZCA whitening in 2D

Background-Subtraction-using-GMM

This project is the C++ implementation of Background Subtraction using adaptive GMM models as discussed by Zoran Zivkovic in his paper "Improved Adaptive Gaussian Mixture Model for Background Subtraction".

Probabilistic-Graphical-Models

Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.

gmm

Gaussian Mixture Models in Python

MCMC-denoiser

Gibbs sampling MCMC image denoiser

cs259-compressive-sensing

UCLA Winter 2011 CS259 Benchmark: Compressive Sensing