Anomaly detection is the process of finding items in a dataset that are different in some way from the majority of the items. For example, you could examine a dataset of credit card transactions to ...

Autoencoder Anomaly Detection Using PyTorch Dr. James McCaffrey of Microsoft Research provides full code and step-by-step examples of anomaly detection, used to find items in a dataset that are ...

This repository contains a Jupyter Notebook (Variational_autoencoder.ipynb) that implements a Variational Autoencoder (VAE) from scratch using PyTorch. The model is trained on the MNIST dataset to ...

A deep learning project that implements a Variational Autoencoder (VAE) with a U-Net-like architecture, self-attention, and perceptual loss to colorize grayscale images of birds. This project was ...

Is PyTorch better than TensorFlow for general use cases? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better understand the world.

During last year’s F8 developer conference, Facebook announced the 1.0 launch of PyTorch, the company’s open-source deep learning platform. At this year’s F8, the company launched version 1.1. The ...

Microsoft is now officially the maintainer of the Windows version of PyTorch, a popular open-source machine-learning library created by Facebook. Microsoft's decision to take a bigger role in the ...