residual-learning
There are 36 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)
NJU-Jet/SR_Mobile_Quantization
Winner solution of mobile AI (CVPRW 2021).
icon-lab/ResViT
Official Implementation of ResViT: Residual Vision Transformers for Multi-modal Medical Image Synthesis
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)
iduta/coconv
[ICCV W] Contextual Convolutional Neural Networks (https://arxiv.org/pdf/2108.07387.pdf)
makolon/hsr_isaac_tamp
Implement PDDLStream for Toyota Human Support Robot (HSR) and offer parallel reinforcement learning environment on Isaac Sim.
ycq091044/MICRON
Code of MICRON, MIMIC data processing, Residual Learning
alvarobartt/understanding-resnet
🧠 ResNet: Deep Residual Learning for Image Recognition
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
qraleq/dr2net
tensorflow implementation of dr2net
Moddy2024/ResNet-9
Designed a smaller architecture implemented from the paper Deep Residual Learning for Image Recognition and achieved 93.65% accuracy.
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
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
Meteors-flash/Research-and-Application-on-Single-Image-Super-Resolution
a graduation project
RahulSkr/skinCarcinomaDetection
A deep neural network developed following the residual learning and separable convolution paradigms to diagnose basal and squamous cell carcinoma using a subset of ISIC dataset.
shawnhan108/The-Recommenders
An exploration of recommender systems using Bayesian Bandit, matrix factorization, deep learning, and residual learning.
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.
MahdiTabassian/Deep-Clutter-Filtering
Deep Spatiotemporal Clutter Filtering of Transthoracic Echocardiographic Images Using a 3D Convolutional Auto-Encoder