Pinned Loading

1. Drone w/ camera gimbal controlled by Pixhawk and Raspberry Pi running OpenCV

   Python 48 12

2. Used Flow, Ray/RLlib and OpenAI Gym to simulate and train autonomous vehicles/human drivers in SUMO (Simulation of Urban Mobility)

   Jupyter Notebook 25 4

3. Used a Keras neural network to correctly identify 1 of 30 spoken words with 95% accuracy

   Jupyter Notebook

4. Generated several multi-target regression models using SKLearn and CuML to predict drug mechanisms of action using cell viability and gene expression data generated through in vitro experiments.

   HTML

5. Used SKLearn logistic regression to understand the relationship between San Joaquin Delta water quality and zooplankton population size

   HTML

6. Used NLP techniques to determine the sentiment and similarity between 10-Ks which are filed annually by publicly traded companies. These similarities were used as metrics for predicting subsequent …

   Jupyter Notebook 1