Kartheek Kumar Reddy's Projects
An implementation of approximate convolutional sparse coding (CSC) based on paper: https://arxiv.org/abs/1711.00328
Matlab code of Bayesian CP Factorization for Tensor Completion
Binary neural networks developed by Huawei Noah's Ark Lab
PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnell (ICLR 2018)
Training Deep Neural Networks with binary weights during propagations
Code for "Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation"
Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1
Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1
Binarized Neural Network (BNN) for pytorch
Matlab Code of Bayesian Robust Tensor Factorization
A MATLAB toolbox for classifier: Version 1.0.7
Code for the paper "Rethinking the CSC Model for Natural Images"
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.
Discriminant analysis via projections, R package
Implementation of Deep Linear Discriminant Analysis (DeepLDA)
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)
IQA: Deep Image Structure and Texture Similarity Metric
Plug-and-Play Image Restoration with Deep Denoiser Prior (IEEE TPAMI 2021) (PyTorch)
Educational Codes
Code to perform expectation maximization sparse discriminant analysis
starter from "How to Train a GAN?" at NIPS2016
Curated list of awesome GAN applications and demo
source code of GLISTA
You will find the gslda Matlab codes that have been implemented in the paper "Generalized sparse discriminant analysis for event related potential classification"
Introduction to programming with Python