A PyTorch implementation of Zero Shot Super Resolution using Residual Feature Fusion classifier and ECA module
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Updated
Feb 2, 2021 - Python
A PyTorch implementation of Zero Shot Super Resolution using Residual Feature Fusion classifier and ECA module
Deep Learning implementations using PyTorch
Refer Readme.md
Implementation of ResNet, and a myraid of Normalization layers, in PyTorch
ResNet, residual network, implementation in Keras, for image classification, with different model architecture depths
Residual Network for classifying the CIFAR-10 dataset
A Style Based Generative model for generating art
A simple app that predicts which Simpson character you make it see! Here is an example of it in action:
Different convolutional neural network implementations for predicting the lenght of the house numbers in the SVHN image dataset. First part of the Humanware project in ift6759-avanced projects in ML.
Repository experimenting with predicting binding affinities inspired by DeepLigand
ResNet model for detecting abnormalities in x-ray imaging
Undergraduate final project: Ordinal Clasification with Residual Networks for the Adience dataset.
Robust learning with implicit residual networks
Implementation for Video Human Activity Recognition using OpenCV
a Pytorch implementation of neural style mixer
Comparing between residual stream and highway stream in transformers(BERT) .
Using a modified ResNet to enhance image classification on the Cifar-10 dataset
CNN to classify leaves and illnesses
Final project assigned for the Introduction to Image Processing (EE 475) course in the Spring 2023 semester.
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