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Deep Learning for Organic Chemistry
A model trained to extract features (shapes, stereochemistry, spectral data) from custom GAN generated images of chemical structures, linked to a recurrent neural network to generate SMILES outputs. Model can predict information about both handwritten and computer-generated data.
Predicting user churn of a ride-share service and recommendations for improving user retention.
Predict prices of diamonds, given an input file with diamond features.
Real-Time Analysis of In-Field Collected Well Fracturing Data - Patent Pending
A Method for Identifying a Channel Mapping from a Data Signal Associated with a Hydraulic Fracturing Well - Patent Pending