From bd3dc788cccfdd4e9028b656aa73f8acf71d5ced Mon Sep 17 00:00:00 2001 From: William Falcon Date: Sun, 1 Mar 2020 22:41:39 -0500 Subject: [PATCH] Update README.md --- README.md | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 1c29d267b1..388d6977f6 100644 --- a/README.md +++ b/README.md @@ -52,7 +52,9 @@ pip install pytorch-lightning [Copy and run this COLAB!](https://colab.research.google.com/drive/1F_RNcHzTfFuQf-LeKvSlud6x7jXYkG31#scrollTo=HOk9c4_35FKg) ## What is it? -Lightning is a way to organize your PyTorch code to decouple the science code from the engineering. It's more of a style-guide than a framework. By refactoring your code, we can automate most of the non-research code. Lightning guarantees tested, correct, modern best practices for the automated parts. +Lightning is a way to organize your PyTorch code to decouple the science code from the engineering. It's more of a style-guide than a framework. + +By refactoring your code, we can automate most of the non-research code. Lightning guarantees tested, correct, modern best practices for the automated parts. Here's an example of how to organize PyTorch code into the LightningModule. @@ -69,7 +71,7 @@ This is how lightning separates the science (red) from the engineering (blue). ![Overview](docs/source/_static/images/pl_overview.gif) ## How much effort is it to convert? -You're probably tired of switching frameworks at this point. But it is a very quick process to refactor into the Lightning format (ie: hours). [Check out this tutorial](https://towardsdatascience.com/how-to-refactor-your-pytorch-code-to-get-these-42-benefits-of-pytorch-lighting-6fdd0dc97538). +You're probably tired of switching frameworks at this point. But it is a very quick process to refactor into the Lightning format (ie: hours). [Check out this tutorial](https://towardsdatascience.com/from-pytorch-to-pytorch-lightning-a-gentle-introduction-b371b7caaf09). ## What are the differences with PyTorch? If you're wondering what you gain out of refactoring your PyTorch code, [read this comparison!](https://towardsdatascience.com/from-pytorch-to-pytorch-lightning-a-gentle-introduction-b371b7caaf09)