mojingmiao Goto Github PK

conv-tt-lstm

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

deep-metric-learning-baselines

PyTorch Implementation for Deep Metric Learning Pipelines

demo

demo1

algorithm for nmf

facial-expression-recognition-using-cnn

Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream

hyperspectral-image-denoising

It is used to denoised hyperspectral image by using total variation and tikhonov regularization

hyperspectral-image-restoration-via-total-variation-regularized-low-rank-tensor-decomposition

code of Hyperspectral Image Restoration via Total Variation Regularized Low-rank Tensor Decomposition

learn-statistical-learning-method

Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版，算法实现。

lhy_dl_hw

low-rank-completion

Matrix Iteratively Reweighted Least Squares for low-rank matrix completion and estimation

low-rank_matrix-completion

low rank matrix recovery by minimizing matrix norm

lrslibrary

Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos

lrspnm

LRSpNM is a novel matrix completion method, which utilizes Schatten-p norm minimization model combined with Laplacian regularization terms to improve prediction performance in the new drug/target cases. The code in this package implements LRSpNM for drug-target interaction prediction, which is implemented in Matlab2016a.

machine_learning_derivation

notes of machine learning algorithm derivation

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

machinelearning-1

《统计学习方法》相关的机器学习实现代码。Machine Learning.

manifoldalgorithm

流形学习算法ISOMAP与LLE的matlab代码

mcwnnm-iccv2017

Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising, ICCV 2017.

mss

Implementing the MSS method in the paper "A Unified Convex Surrogate for the Schatten-p Norm. Chen Xu, Zhouchen Lin, Hongbin Zha. AAAI 2017"

nmflibrary

MATLAB library for non-negative matrix factorization (NMF): Version 1.8.0

pcc

Resources for Python Crash Course, from No Starch Press.

robust-low-rank-tensor-ring-completion

This project aims to realize the robust tensor completion algorithms via tensor ring decomposition.

schatten-p_codes

code of top published work

tensor

matlab code for convex optimization based tensor decomposition (completion/denoising)

tensor-factorization-with-total-variation-and-tikhonov-regularization-for-low-rank-tensor-completion

code of Tensor Factorization with Total Variation and Tikhonov Regularization for Low-Rank Tensor Completion in Imaging Data

tensorcompletion

A collection of tensor completion algorithms

tnml

Tensor network machine learning. Based on the paper "Supervised Learning with Quantum Inspired Tensor Networks" http://arxiv.org/abs/1605.05775

trlrf

Tensor ring low-rank factors (AAAI 2019)