sparseelad Goto Github PK

abip

Admm-based Interior Point Method for Linear Programming

adaptive-stepsizes-dr

Adaptive stepsizes for Primal-Dual Douglas-Rachford

altginv

Matlab ADMM implementation of some norm-minimizing generalized inverses

bdr

Subspace Clustering by Block Diagonal Representation

big-data-optimization-course

Repository for my Big Data Optimization course

bregman-kaczmarz

cdcs

An open-source MATLAB® ADMM solver for partially decomposable conic optimization programs.

clustering-matlab

This repository contains Matlab scripts illustrating various clustering techniques, culminating in the Dirichlet Process Method. For more theoretical background see ClusteringSlides.pdf or buy https://www.amazon.com/gp/product/0815384106/ref=dbs_a_def_rwt_bibl_vppi_i0

convolt

CONVOLT: CONVolutional Operator Learning Toolbox (for Matlab)

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

dcaco

DCACO is an efficient Matlab algorithm which is used to generate highly incoherent redundant matrices.

deep-learning-w-python

Source code for 'Deep Learning with Python' by Nikhil Ketkar

deepam

Official code of "Learning Deep Analysis Dictionaries for Image Super-Resolution"

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

dl-book

Scripts and library for the "Dictionary Learning Algorithms and Applications" book.

dpir

Plug-and-Play Image Restoration with Deep Denoiser Prior (IEEE TPAMI 2021) (PyTorch)

drot

Douglas-Rachford Splitting for Optimal Transport

euclidean-regularised-optimal-transport

frankwolfe-book-code

Python implementation of Frank-Wolfe and Conditional Gradient algorithms

gdnm

Generalized Damped Newton Method for solving Lasso

graal

induced-distributions

Computation of induced orthogonal polynomial distributions

induced-distributions-examples

Example plots for induced distributions

irnn

Iteratively Reweighted Nuclear Norm for Nonconvex Nonsmooth Low-rank Minimization

irtools

MATLAB package of iterative regularization methods and large-scale test problems. This software is described in the paper "IR Tools: A MATLAB Package of Iterative Regularization Methods and Large-Scale Test Problems" that will be published in Numerical Algorithms, 2018.

kl_screening

GAP Safe Screening with local regularity assumptions. Application to: L1-regularized Kullback-Leibler, Beta=1.5 divergence and Logistic regression problems.

largescalebookslides

lectureslides

Lecture slides to accompany "A Concise Introduction to Machine Learning"

lihang-code

《统计学习方法》的代码实现

linear-classification-matlab

This repository contains Matlab scripts illustrating various linear classification techniques including the Support Vector Machine. For more theoretical background see LinearClassificationSlides.pdf or buy https://www.amazon.com/gp/product/0815384106/ref=dbs_a_def_rwt_bibl_vppi_i0