From 2b20ca80cf7f08585e90a11c5b025fa42e4866c8 Mon Sep 17 00:00:00 2001 From: nv-kkudrynski Date: Wed, 14 Apr 2021 19:37:40 +0200 Subject: [PATCH] PTL link fix --- PyTorch/Segmentation/nnUNet/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/PyTorch/Segmentation/nnUNet/README.md b/PyTorch/Segmentation/nnUNet/README.md index 0c940394..505290c2 100755 --- a/PyTorch/Segmentation/nnUNet/README.md +++ b/PyTorch/Segmentation/nnUNet/README.md @@ -53,7 +53,7 @@ The differences between this nnU-net and [original model](https://github.com/MIC This model is trained with mixed precision using Tensor Cores on Volta, Turing, and the NVIDIA Ampere GPU architectures. Therefore, researchers can get results 2x faster than training without Tensor Cores, while experiencing the benefits of mixed precision training. This model is tested against each NGC monthly container release to ensure consistent accuracy and performance over time. -We developed the model using [PyTorch Lightning](https://ai.facebook.com/blog/reengineering-facebook-ais-deep-learning-platforms-for-interoperability/), a new easy to use framework that ensures code readability and reproducibility without the boilerplate. +We developed the model using [PyTorch Lightning](https://www.pytorchlightning.ai), a new easy to use framework that ensures code readability and reproducibility without the boilerplate. ### Model architecture