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1. PV-Lab/autoXRD PV-Lab/autoXRD Public

   Automatic XRD classification for thin-film materials using CNNs, Class Activation Maps and Data Augmentation

   Python 50 21

2. PV-Lab/BayesProcess PV-Lab/BayesProcess Public

   Physics informed Bayesian network + autoencoder for matching process / variable / performance in solar cells.

   Jupyter Notebook 30 6

3. PV-Lab/SPProC PV-Lab/SPProC Public

   Sequential learning and optimization with physical probabilistic constraints.

   Python 4 1

4. molecule-autoencoder molecule-autoencoder Public

   Forked from HIPS/molecule-autoencoder

   A project to enable optimization of molecules by transforming them to and from a continuous representation.

   Python

5. PV-Lab/Data-Driven-PV PV-Lab/Data-Driven-PV Public

   Bridging the gap between photovoltaics R&D and manufacturing with data-driven optimization

   Python 5 2

6. PV-Lab/GPyOpt_DFT PV-Lab/GPyOpt_DFT Public

   Fork of GPyOpt adapted for constrained optimization using a physical DFT model.

   Jupyter Notebook 2 1