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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