PyTorch Lightning: Difference between revisions

Revision as of 14:49, 27 December 2023

Revision as of 10:06, 7 March 2024

Line 4:

| author = William Falcon

| developer = Various

| released = {{Start date and age|2019-|05-|31}}

| repo = {{URL|https://github.com/PyTorchLightningLightning-AI/pytorch-lightning}}

| platform = [[Cross-platform]]

| license = [[Apache License]] 2.0]]

| website = {{URL|https://lightning.ai/}}

}}

'''PyTorch Lightning''' is an open-source [[Python (programming language)|Python]] library that provides a high-level interface for [[PyTorch]], a popular [[deep learning]] framework.<ref>{{Cite web|url=https://github.com/PyTorchLightning/pytorch-lightning|title=GitHub - PyTorch Lightning|last=|first=|date=2019-12-01|website=[[GitHub]]|archive-url=|archive-date=|access-date=}}</ref> It is a lightweight and high-performance framework that organizes PyTorch code to decouple the research from the engineering, making deep learning experiments easier to read and reproduce. It is designed to create scalable deep learning models that can easily run on distributed hardware while keeping the models hardware agnostic.

In 2019, Lightning was adopted by the [[Conference on Neural Information Processing Systems|NeurIPS]] Reproducibility Challenge as a standard for submitting PyTorch code to the conference.<ref>{{Cite web|url=https://reproducibility-challenge.github.io/neurips2019/resources/|title=Reproducibility Challenge @NeurIPS 2019|last=|first=|date=2019-12-01|website=NeurIPS|archive-url=|archive-date=|access-date=2019-12-01}}</ref>

Line 18:

== References ==

<references />

== External links ==

* {{Official website|https://lightning.ai/}}

* {{GitHub|Lightning-AI/pytorch-lightning}}

[[Category:Python (programming language) scientific libraries]]