This Repository Contains PyTorch Notebooks and Models
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Updated
Oct 16, 2023 - Jupyter Notebook
PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing, primarily developed by Facebook's AI Research lab.
This Repository Contains PyTorch Notebooks and Models
Pytorch Tutorial Notebooks
🔥 Learning PyTorch for deep learning
MicroService Encryption pytorch docker image
Classifiy CIFAR10 dataset with PyTorch
Machine Learning in microbiome
This GitHub laboratory contains PyTorch classification loss functions, Jupyter notebooks, and documentation for researchers and machine learning enthusiasts interested in deep learning and PyTorch.
This is basically the record of my codes that I have practised while learning PyTorch framework. I have followed the following repository link that contains the required resources and datasets.
Concepts and details about using PyTorch for deep learning, along with concrete examples, are provided.
Coursera Guided Project on Image Detection using Siamese Network in PyTorch
Assorted pytorch review repo with code covering basics, simple regression, classification, vision and transformer models
This repository consists of IBM's skill development course on Pytorch
A recreation of the system behind Facebook marketplace, which uses AI to recommend the most relevant listings based on a personalised search query
The Goal of the project is to determine, which Framework will yield good results on inference models with smaller size. We Perform pruning to extract the inference model with smallest size using frameworks Pytorch, Tensorflow, Caffe
Calculates the output dimensions of a PyTorch conv2d, conv2d.T, conv3d or conv3d.T, layer.
Created by Facebook's AI Research lab (FAIR)
Released September 2016
Latest release about 1 month ago