residual-learning
There are 39 repositories under residual-learning topic.
cszn/DnCNN
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
SuperBruceJia/EEG-DL
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
wbhu/DnCNN-tensorflow
:octocat::octocat:A tensorflow implement of the paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"
iduta/pyconv
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
iduta/iresnet
Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)
hellloxiaotian/BRDNet
Image denoising using deep CNN with batch renormalization(Neural Networks,2020)
icon-lab/ResViT
Official Implementation of ResViT: Residual Vision Transformers for Multi-modal Medical Image Synthesis
NJU-Jet/SR_Mobile_Quantization
Winner solution of mobile AI (CVPRW 2021).
RaoUmer/SRResCGAN
Code repo for "Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution" (CVPRW NTIRE2020).
grishavak/LIDIA-denoiser
LIDIA: Lightweight Learned Image Denoising with Instance Adaptation (NTIRE, 2020)
hellloxiaotian/ECNDNet
Enhanced CNN for image denoising (CAAI Transactions on Intelligence Technology, 2019)
mhaut/pResNet-HSI
Source code of "Deep Pyramidal Residual Networks for Spectral–Spatial Hyperspectral Image Classification"
garyzhao/FRGAN
The Pytorch implementation for "Learning to Forecast and Refine Residual Motion for Image-to-Video Generation" (ECCV 2018).
qiyuantian/DeepDTI
DeepDTI Tutorial
DebeshJha/TransNetR
Official implementation of TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing (MIDL 2022)
ycq091044/MICRON
Code of MICRON, MIMIC data processing, Residual Learning
iduta/coconv
[ICCV W] Contextual Convolutional Neural Networks (https://arxiv.org/pdf/2108.07387.pdf)
BICLab/MS-ResNet
Offical implementation of "Advancing Spiking Neural Networks towards Deep Residual Learning" (IEEE TNNLS 2024)
deep-learning-algorithm/GoogLeNet
Implementation of GoogLeNet series Algorithm
alvarobartt/understanding-resnet
🧠 ResNet: Deep Residual Learning for Image Recognition
Moddy2024/ResNet-9
Designed a smaller architecture implemented from the paper Deep Residual Learning for Image Recognition and achieved 93.65% accuracy.
qraleq/dr2net
tensorflow implementation of dr2net
basiralab/RESNets
Residual Embedding Similarity-based Network Selection (RESNets) for forecasting network dynamics.
Chandra-cc/IDCBreastCancer_histopathologyImages_deepResidualLearning
IDC prediction in breast cancer histopathology images using deep residual learning with an accuracy of 99.37% in a subset of images containing a total of 7,500 microscopic images.
Chandra-cc/Pneumonia-diagnosis-using-deep-residual-learning-with-a-classification-accuracy-of-98.22
Classification between normal and pneumonia affected chest-X-ray images using deep residual learning along with separable convolutional network(CNN). This methodology involves efficient edge preservation and image contrast enhancement techniques for better classification of the X-ray images.
delongsh/RLECC
Face Template Protection Through Residual Learning Based Error-Correctinig Codes
deep-learning-algorithm/ResNet
Implementation of ResNet series Algorithm
rsarka34/ILDNet
ILDNet: A Novel Deep Learning Framework for Interstitial Lung Disease Identification Using Respiratory Sounds (IEEE SPCOM-2024)
GSaiDheeraj/deepfakesdetection
Classifying Deepfake imges using Residual learning Architecture
tanishqjasoria/DeepLearning
Implementation of some Neural Network architecture using Numpy, TensorFlow and Keras.
tate8/AI-flashcards
An educational AI-powered flashcards web app
iiteen/img_denoising
Implementation of a deep neural network for denoising extreme low-light images using residual learning
MahdiTabassian/Deep-Clutter-Filtering
Deep Spatiotemporal Clutter Filtering of Transthoracic Echocardiographic Images Using a 3D Convolutional Auto-Encoder
shreyansh-2003/MLR-Gradient-Descent-For-Model-Explainability
This repository contains a comprehensive implementation of gradient descent for linear regression, including visualizations and comparisons with ordinary least squares (OLS) regression. It also includes an additional implementation for multiple linear regression using gradient descent.
shubhampundhir/Image-Superesolution-Using-Machine-Learning
Image SuperResolution using Random Forest Regressor(RFSR), Support Vector Regressor(SVR) Machine learning Models.
shangtaooo/DP-ResMLP
Dual-path ResMLP for Noise Prediction