GitHub topics: deep-residual-learning
KanishkNavale/DQN-DuelingDQN
Tensorflow based DQN and PyTorch based DDQN Agent for 'MountainCar-v0' openai-gym environment.
Language: Python - Size: 18.8 MB - Last synced at: 2 months ago - Pushed at: about 3 years ago - Stars: 4 - Forks: 2

shuokay/resnet
Deep Residual Learning for Image Recognition, http://arxiv.org/abs/1512.03385
Language: Python - Size: 37.1 KB - Last synced at: 3 months ago - Pushed at: over 9 years ago - Stars: 85 - Forks: 39

yixindu1573/Recursive-Deep-Residual-Learning-for-Single-Image-Dehazing-DRL
Recursive Deep Residual Learning for Single Image Dehazing (DRL)
Language: MATLAB - Size: 10.3 MB - Last synced at: 13 days ago - Pushed at: about 6 years ago - Stars: 4 - Forks: 3

iduta/iresnet
Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)
Language: Python - Size: 28.3 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 224 - Forks: 42

a-martyn/resnet
An implementation of the original "ResNet" paper in Pytorch
Language: Jupyter Notebook - Size: 53.2 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 22 - Forks: 10

NatenaelTBekele/Facial-Expression-Emotion-Recognition-Model
The aim of this project is to classify people’s emotions based on their face images
Language: Jupyter Notebook - Size: 6.58 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

dnlcrl/deep-residual-networks-pyfunt
Python implementation of "Deep Residual Learning for Image Recognition" (http://arxiv.org/abs/1512.03385 - MSRA, winner team of the 2015 ILSVRC and COCO challenges).
Language: Python - Size: 4.59 MB - Last synced at: 3 months ago - Pushed at: over 7 years ago - Stars: 52 - Forks: 10

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.
Language: Jupyter Notebook - Size: 2.09 MB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 3 - Forks: 2

iduta/coconv
[ICCV W] Contextual Convolutional Neural Networks (https://arxiv.org/pdf/2108.07387.pdf)
Language: Python - Size: 892 KB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 13 - Forks: 3

vargo96/seminars
This repository contains my seminar work (literature review) for topics in Machine Learning, Pattern Recognition at Paderborn University. Each topic is in a separate folder and the folder name is the topic of my seminar work.
Size: 2.58 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

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.
Language: Jupyter Notebook - Size: 1.65 MB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 2 - Forks: 3

Ayush-Shirsat/EfficientNet_DR
CS 591 Deep learning Project
Language: Jupyter Notebook - Size: 1.33 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 2

Chandra-cc/Object_Classification_Deep_Residual_Seperable_CNN_with_VGG16
Object_Classification_Deep_Residual_Seperable_CNN_with_VGG16
Language: Jupyter Notebook - Size: 112 KB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0
