Merge pull request #3 from mlcommons/sarthakpati-patch-1

Minor doc and codeowner update

.github/CODEOWNERS

@@ -6,4 +6,4 @@
 
 /.github/workflows/cla.yml @mlcommons/staff
 
-/LICENSE.md @mlcommons/staff
+/LICENSE.md @mlcommons/staff

README.md

@@ -1,4 +1,10 @@
-General documentation is in preparation, it will be made available soon.
+# GaNDLF-Synth
+
+Presenting the **G**ener**a**lly **N**uanced **D**eep **L**earning **F**ramework for **Synth**esis (GaNDLF-Synth), a unified abstraction to train various synthesis algorithms in a zero/low code approach.
+
+## Documentation
+
+General documentation is in preparation, it will be **made available soon**.
 
 Mixed precision training:
 We currently support mixed precision training based on [lightning](https://pytorch-lightning.readthedocs.io/en/latest/advanced/mixed_precision.html). To use mixed precision, please set the "precision" field in the "compute" field. All available precision options can be found under the link above. 
@@ -34,4 +40,18 @@ compute:
 ```
 Details of this config file can be found in the deepspeed documentation here: https://www.deepspeed.ai/docs/config-json/
 Please read further details in the Lightning guide: https://lightning.ai/docs/pytorch/stable/advanced/model_parallel/deepspeed.html#custom-deepspeed-config.
-Note that you will probably need to override the optimizer choice with one of optimized ones available in deepspeed. This optimizer (scheduler can be specified here too) will take precedence over the one specified in the base yaml config file.
+Note that you will probably need to override the optimizer choice with one of optimized ones available in deepspeed. This optimizer (scheduler can be specified here too) will take precedence over the one specified in the base yaml config file.
+
+## Citation
+
+```
+@misc{pati2024gandlfsynthframeworkdemocratizegenerative,
+      title={GaNDLF-Synth: A Framework to Democratize Generative AI for (Bio)Medical Imaging}, 
+      author={Sarthak Pati and Szymon Mazurek and Spyridon Bakas},
+      year={2024},
+      eprint={2410.00173},
+      archivePrefix={arXiv},
+      primaryClass={cs.LG},
+      url={https://arxiv.org/abs/2410.00173}, 
+}
+```