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Deep-Renormalization
Deep-Renormalization PublicLooking 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
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Quantum-Code-Generation-with-Conditional-RNNs
Quantum-Code-Generation-with-Conditional-RNNs PublicQuantum Code Generation with Conditional RNNs. Capstone project for Minerva Schools, March 2020.
Jupyter Notebook
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Stanford-CS231n
Stanford-CS231n PublicStanford's C231n course, assignments completed using both PyTorch 1.6 and TensorFlow 2.3, taken in summer 2020.
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CS166--Modeling-Simulation-and-Decision-Making
CS166--Modeling-Simulation-and-Decision-Making PublicA concentration course on computer modeling and simulations. Taken in spring 2019.
Jupyter Notebook 3
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CS156--Machine-Learning-for-Science-and-Profit
CS156--Machine-Learning-for-Science-and-Profit PublicConcentration course on Machine Learning, taken in fall 2018.
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Quantum-Machine-Learning
Quantum-Machine-Learning PublicA 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.
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