Implementing glmnet's optimization algorithm with torch

A short description of the post.

Classification losses in torch

In this article we describe the many ways one can compute loss functions in binary classification problems when using torch.

Cosine Embedding loss in torch

This is a short post showing the coside embedding loss in action with torch.

Self-created custom runners with Github Actions

In this article we describe the approach we are using to create and manage custom GPU accelerated Windows instances to run CI workflows in the torch project.

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