Hosted on MSN

Network in Network (NiN) Explained – Deep Neural Network Tutorial with PyTorch

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...
Hosted on MSN

Inception Net V1 Explained – Step-by-Step PyTorch Tutorial

Learn how the Inception Net V1 architecture works and how to implement it from scratch using PyTorch. Perfect for deep learning enthusiasts wanting a hands-on understanding of this classic ...
GitHub

torch-scatter installation is very slow

Hi @rusty1s, I noticed the installation of torch-scatter in the Colab tutorials became very slow. I think this problem is related to the version of PyTorch that is currently available in Colab, which ...
GitHub

[Train] Support Pytorch Geometric data classes in auto DataLoader preparation

Since PyTorch Geometric works mostly as an extension of PyTorch, almost all features of Ray work with PyTorch Geometric (PyG). However, PyG has some data classes that do not extend any PyTorch class.
Microsoft

ViSNet: A general molecular geometry modeling framework for predicting molecular properties and simulating molecular dynamics

Molecular geometry modeling is a powerful tool for understanding the intricate relationships between molecular structure and biological activity – a field known as structure-activity relationships ...
IEEE

Training Recurrent Neural Network-Based Model to Predict COVID-19 Patient Risk for PASC using Pytorch_EHR – Hands-on Tutorial on N3C

Abstract: Pytorch_EHR is a codebase enabling fast prototyping of deep learning-based predictive models using electronic health records structured data. Rather than a collection of vertical pipelines ...