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avkhimen/README.md
  • 👋 Hi, I’m @avkhimen. I am a Canadian Engineer and Data Scientist.
  • 👀 I’m interested in applications of Deep Learning, Deep Reinforcement Learning, and mathematical optimization methods to problems in transmission and distribution systems. I am also actively following developments in economics, finance, and cryptocurrencies.
  • 🌱 I’m currently learning how to apply cutting-edge multi-agent reinforcement learning algorithms to problems involving continuous action spaces.
  • 💞️ I’m looking to collaborate on solutions to problems in finance, cryptocurrencies, engineering, and social sciences.
  • 📫 I can easily be reached at avkhimen@ualberta.ca or vavkhimenia@gmail.com.

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  1. Electric_Vehicle_Charging_Simulation Electric_Vehicle_Charging_Simulation Public

    This project implements Q-Learning to find the optimal policy for charging and discharging electric vehicles in a V2G scheme under conditions of uncertain commitment of EV owners. The problem is mo…

    Python 41 5

  2. EasyA-_with_YouVersity EasyA-_with_YouVersity Public

    MAKEUC2021 Hackathon Project

    Python 1

  3. CWGAN-GP-image-generation CWGAN-GP-image-generation Public

    Conditional Wasserstein GAN with gradient penalty for image generation trained with mnist dataset

    Jupyter Notebook 1 1

  4. orbit_scraper orbit_scraper Public

    Price scraper for dogecoin cryptocurrency to notify the user about the arbitrage opportunities between exchanges

    Python

  5. CWGAN-GP-time-series CWGAN-GP-time-series Public

    Conditional Wasserstein GAN for synthetic time series genetaion

    Jupyter Notebook 4