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  1. Quantum-Generative-Adversarial-Networks-for-Stock-Price-Prediction Quantum-Generative-Adversarial-Networks-for-Stock-Price-Prediction Public

    This project uses the Pennylane library to create quantum variational circuits capable of predicting a stock's price.

    Python 7 2

  2. hello-world hello-world Public

    My first repository

  3. rlst rlst Public

    SAIG project repository

  4. SaveTheMarket SaveTheMarket Public

    Determined to help John Kelly and White House staff protect the markets from the Child-In-Chief, this

    Python

  5. A-Fresh-Start-Using-Reinforcement-Learning-to-Minimize-Food-Waste-and-Stock-Outs-in-Supermarkets A-Fresh-Start-Using-Reinforcement-Learning-to-Minimize-Food-Waste-and-Stock-Outs-in-Supermarkets Public

    Implemented a Q-Learning algorithm, that given sales data on a particular item at a particular store, will recommend how much more of that item to buy for a particular day

    Python

  6. Artificial-Speech-Generation-to-Mimic-a-Speaker-s-Writing-Style Artificial-Speech-Generation-to-Mimic-a-Speaker-s-Writing-Style Public

    Used a LSTM RNN to generate speeches similar to those given by Donald Trump during his 2016 Presidential Campaign

    Jupyter Notebook