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1. Deep-Renormalization Deep-Renormalization Public

   Looking for renormalization in the operation of deep neural networks by training an autoencoder to detect phase transitions in the Ising model, and extracting evidence from layer activations.

   Jupyter Notebook 6 1

2. Quantum-Code-Generation-with-Conditional-RNNs Quantum-Code-Generation-with-Conditional-RNNs Public

   Quantum Code Generation with Conditional RNNs. Capstone project for Minerva Schools, March 2020.

   Jupyter Notebook

3. Stanford-CS231n Stanford-CS231n Public

   Stanford's C231n course, assignments completed using both PyTorch 1.6 and TensorFlow 2.3, taken in summer 2020.

   Jupyter Notebook 3 1

4. CS166--Modeling-Simulation-and-Decision-Making CS166--Modeling-Simulation-and-Decision-Making Public

   A concentration course on computer modeling and simulations. Taken in spring 2019.

   Jupyter Notebook 3

5. CS156--Machine-Learning-for-Science-and-Profit CS156--Machine-Learning-for-Science-and-Profit Public

   Concentration course on Machine Learning, taken in fall 2018.

   Jupyter Notebook 2 1

6. Quantum-Machine-Learning Quantum-Machine-Learning Public

   A Quantum Computing MOOC from University of Toronto focusing on Machine Learning applications, taken in summer 2019. Coded in Python using IBM's qiskit library and D-Wave's ocean library.

   Jupyter Notebook 1 1