Skip to content

Commit

Permalink
Fix URL's that moved.
Browse files Browse the repository at this point in the history
  • Loading branch information
dfalbel committed Apr 14, 2023
1 parent ad0111e commit 3be5d19
Show file tree
Hide file tree
Showing 2 changed files with 2 additions and 2 deletions.
2 changes: 1 addition & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -18,7 +18,7 @@ It is heavily inspired by other higher level frameworks for deep learning, to ci

- [Keras](https://keras.io/): We are also heavily inspired by Keras, especially callback names. The lightning module interface is similar to `compile`, too.

- [PyTorch Lightning](https://www.pytorchlightning.ai/): The idea of the `luz_module` being a subclass of `nn_module` is inspired by the **`LightningModule`** object in lightning.
- [PyTorch Lightning](https://lightning.ai/pages/open-source/): The idea of the `luz_module` being a subclass of `nn_module` is inspired by the **`LightningModule`** object in lightning.

- [HuggingFace Accelerate](https://huggingface.co/docs/accelerate/): The internal device placement API is heavily inspired by Accelerate, but is much more modest in features. Currently only CPU and Single GPU are supported.

Expand Down
2 changes: 1 addition & 1 deletion vignettes/get-started.Rmd
Original file line number Diff line number Diff line change
Expand Up @@ -29,7 +29,7 @@ Luz is heavily inspired by other higher level frameworks for deep learning, to c

- [Keras](https://keras.io/): We are also heavily inspired by Keras, especially callback names. The lightning module interface is similar to `compile`, too.

- [PyTorch Lightning](https://www.pytorchlightning.ai/): The idea of the `luz_module` being a subclass of `nn_module` is inspired by the **`LightningModule`** object in lightning.
- [PyTorch Lightning](https://lightning.ai/pages/open-source/): The idea of the `luz_module` being a subclass of `nn_module` is inspired by the **`LightningModule`** object in lightning.

- [HuggingFace Accelerate](https://huggingface.co/docs/accelerate/): The internal device placement API is heavily inspired by Accelerate, but is much more modest in features. Currently only CPU and Single GPU are supported.

Expand Down

0 comments on commit 3be5d19

Please sign in to comment.