#pytorch-lightning

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Building a Pneumonia Diagnostic Assistant with PyTorch Lightning

A Deep Learning Pipeline for Medical Imaging

Building Deep Learning Forecasting Models with PyTorch Lightning & PyTorch Forecasting

PyTorch Forecasting is a wrapper library built on top of PyTorch + PyTorch Lightning.

DINOv3 🦖Meets PyTorch Lightning⚡: A Practical Guide to Scalable Self-Supervised Training (Part 1)

How PyTorch Lightning turns DINOv3 from a research frontier into a practical toolkit for scalable self-supervised learning.

Custom Deep Learning Model with a ResNet18 Backbone for CIFAR-10 Image Classification

1- Introduction

Comparison of Web and Mobile object detection models based on inference results

Using inference results to comparison web and mobile models for their performance on an object detection task.

Porting PyTorch based object detection model to mobile compatible format.

This article provide a code snipper to convert an ML model trained on web to a mobile compatible format.

Introducing Faster Training with Lightning and Brain Float16

Lightning introduces BFloat16 support with a single flag to the Trainer, for faster and stable training in lower precision.