These projects were highly regarded in Hackathon 1. From these, what can we carry forward to Hackathon 2? * Cancer clustering https://github.com/SVAI/C3. Gives Python and R notebooks and slide deck. * Auto NF2 https://github.com/SVAI/AutoNF2. Slide deck. No code or Jupyter notebooks. Talks about unsupervised transfer learning in neural networks. Identifies a vector. It would be good to know what followup work was done with this vector. Details not given on: o NN package used o NN package configuration o Input data, including source and target o Details of supervised and unsupervised training and how long it took to converge and how well prediction match target * Finding novel drugs for NF2-related protein targets with DeepChem https://github.com/SVAI/DeepDrugs Two PNG files about "screenshot" and "data". No slides, no other details.