add byline

Author: mlin

notebooks/pytorch_scvi.ipynb

@@ -11,6 +11,8 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
+    "*Authors: Emanuele Bezzi, Martin Kim, Mike Lin*\n",
+    "\n",
     "This notebook demonstrates a scalable approach to training an [scVI](https://docs.scvi-tools.org/en/latest/user_guide/models/scvi.html) model on Census data. The [scvi-tools](https://scvi-tools.org/) library is built around [PyTorch Lightning](https://lightning.ai/docs/pytorch/stable/). [TileDB-SOMA-ML](https://github.com/single-cell-data/TileDB-SOMA-ML) assists with streaming Census query results to PyTorch in batches, allowing for training datasets larger than available RAM."
    ]
   },