Abstract: Deep learning has witnessed rapid progress through frameworks such as PyTorch, which has become the dominant choice for researchers and practitioners due to its dynamic computation, ...

The anti-ICE mobilization that unfolded around the killing of Alex Pretti in Minneapolis last week mirrored the methods used to overthrow governments and spark bloody revolutions around the globe, ...

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 ...

Abstract: Colorizing grayscale photos is a difficult process that has important uses in the creative industries, media improvement, and historical photo restoration. By utilizing advances in neural ...

Biomarker discovery and drug response prediction are central to personalized medicine, driving demand for predictive models that also offer biological insights. Biologically informed neural networks ...

The brain criticality hypothesis has been a central research topic in theoretical neuroscience for two decades. This hypothesis suggests that the brain operates near the critical point at the boundary ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

The Neural Network Training Kit provides a structured approach to training neural networks using PyTorch Lightning. It simplifies the training process by handling common tasks like loss function ...

This tutorial will walk you through using PyTorch to implement a Neural Collaborative Filtering (NCF) recommendation system. NCF extends traditional matrix factorisation by using neural networks to ...