kartheekkumar65 Goto Github PK

ista-nas

released code for the paper: ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding

ista-net-pytorch

ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing, CVPR2018 (PyTorch Code)

kair

Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, ESRGAN

kartheek_reddy.github.io

This website contains the professional work details of Nareddy Kartheek Kumar Reddy

kartheekkumar65

Config files for my GitHub profile.

kartheekkumar65.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

kmeans_pytorch

pytorch implementation of basic kmeans algorithm(lloyd method with forgy initialization) with gpu support

lenslesslearning

Code for Lensless Learning Paper

lista

lista-cpss

[NeurIPS'18, Spotlight oral] "Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds", by Xiaohan Chen*, Jialin Liu*, Zhangyang Wang and Wotao Yin.

lq-net-pytorch

LQ-net implementation on pytorch

lq-nets

LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks

ml-ista

Demo for Multi-Layer ISTA and Multi-Layer FISTA algorithms for convolutional neural networks, as described in J. Sulam, A. Aberdam, A. Beck, M. Elad, (2018). On Multi-Layer Basis Pursuit, Efficient Algorithms and Convolutional Neural Networks. arXiv preprint:1806.00701

neurips-1bcs

Code related to NeurIPS 2019 paper "Superset Technique for Approximate Recovery in One-Bit Compressed Sensing"

on_red

This repository is made to publish code used in "Regularization by Denoising: Clarifications and New Interpretations" by Reehorst, Schniter

pl4nn

Perceptual Losses for Neural Networks: Caffe implementation of loss layers based on perceptual image quality metrics.

plda

Probabilistic Linear Discriminant Analysis & classification, written in Python.

pot

POT : Python Optimal Transport

python-basics-for-image-processing

python-programming

Basics of Python programming including object oriented programming

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

quant_cs

Code for the paper: Sample Complexity Bounds for 1-bit Compressive Sensing and Binary Stable Embeddings with Generative Priors

r1bcs

Robust one bit Bayesian Compressive Sensing with Sign Flip Errors

reconnet

ReconNet: CVPR 2016

reconnet-pytorch

A non-iterative algorithm to reconstruct images from compressively sensed measurements.

red

RED - Regularization by Denoising

rethinking-bnn-optimization

Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"

sdar

Sparse Quadratic Discriminant Analysis for High-Dimensional Data

searching-for-activation-functions

NIPS Implementation challenge 2017 for "Searching for activation functions" paper by Google Brain