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1. Graph neural network for generating novel amino acid sequences that fold into proteins with predetermined topologies.

   Jupyter Notebook 60 9

2. Predicting the effect of mutations on protein stability and protein binding affinity using pretrained neural networks and a ranking objective function.

   Jupyter Notebook 23 7

3. Classifier trained to predict whether a protein sequence matches an adjacency network and a GAN trained to fool the classifier.

   Jupyter Notebook 1

4. UniParc dataset describing ~300 million protein sequences converted into relational tables accessible through Google BigQuery (and as Parquet files).

   Rust 2

5. Extract relational tables from PubMed Central.

   Jupyter Notebook 2

6. Interactive tutorial notebooks for CSC343 - Introduction to Databases.

   Jupyter Notebook 17 5