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approximateconvolutionalsparsecoding

An implementation of approximate convolutional sparse coding (CSC) based on paper: https://arxiv.org/abs/1711.00328

attngan

bcpf

Matlab code of Bayesian CP Factorization for Tensor Completion

binary-neural-networks

Binary neural networks developed by Huawei Noah's Ark Lab

binary-wide-resnet

PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnell (ICLR 2018)

binaryconnect

Training Deep Neural Networks with binary weights during propagations

binarygan

Code for "Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation"

binarynet

Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

binarynet-1

Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

binarynet.pytorch

Binarized Neural Network (BNN) for pytorch

brtf

Matlab Code of Bayesian Robust Tensor Factorization

classifiertoolbox

A MATLAB toolbox for classifier: Version 1.0.7

cscnet

Code for the paper "Rethinking the CSC Model for Natural Images"

d-amp_toolbox

This package contains the code to run Learned D-AMP, D-AMP, D-VAMP, D-prGAMP, and DnCNN algorithms. It also includes code to train Learned D-AMP, DnCNN, and Deep Image Prior U-net using the SURE loss.

dap

Discriminant analysis via projections, R package

deep_lda

Implementation of Deep Linear Discriminant Analysis (DeepLDA)

distributed1bitcs

Matlab code for the paper "Analysis of hard-thresholding for distributed compressed sensing with one-bit measurements" by J.Maly and Lars Palzer (doi:10.1093/imaiai/iaz004)

dists

IQA: Deep Image Structure and Texture Similarity Metric

dpir

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

educational

Educational Codes

em-sda

Code to perform expectation maximization sparse discriminant analysis

epnet

ganhacks

starter from "How to Train a GAN?" at NIPS2016

gans-awesome-applications

Curated list of awesome GAN applications and demo

glista

source code of GLISTA

growth_transforms

gsda

You will find the gslda Matlab codes that have been implemented in the paper "Generalized sparse discriminant analysis for event related potential classification"

intro-to-deep-learning

introduction-to-programming-with-python

Introduction to programming with Python

ir-net

This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for accurate binary neural networks.