Concepts and details about using PyTorch for deep learning, along with concrete examples, are provided.
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Updated
Jul 11, 2023 - Jupyter Notebook
Concepts and details about using PyTorch for deep learning, along with concrete examples, are provided.
Taking a latex glove to PyTorch internals
CNN network implemented using the Pytorch Framework from the scratch for classifying the Fashion - MNIST data set, activation layer of RELU is used for the nolinearity and cross entropy for the final backward error propagation, for better visualisation Tensorboard is also incorporated which helped in fine tuning of the hyper params
Incredible Deep Learning in immunooncology with Pytorch - workshop at AIRR Community Meeting IV
In this repository, I have written some of my experiences in studying deep learning. Also, I have included some good resources and some of my exercises and educational projects. Furthermore, some good references about graph neural networks (GNNs) have been added.
📁Course Tech Provided By Udacity
PyQt example of using fine-tuned resnet50 model for image classficiation of user-defined image (anteater, hyena)
Basic code harness for training a ResNet on a custom dataset in Pytorch
CycleGAN with PyTorch
Classifies the movie reviews as positive or negative using LSTM Networks
Deep Learning using PyTorch.
This repository serves the basic purpose of learning PyTorch and implementing famous neural networks in PyTorch to learn the dynamics of the framework.
Time Series Forecasting with LSTMs for Daily Coronavirus Cases
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