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Matthew-Neba/README.md

Hi, I'm Matthew Neba

About Me

I like software, from web development to artificial intelligence and statistical analysis. Recently, I have been especially interested in fast reinforcement learning: building high-performance simulators in C, C++, and CUDA so RL agents can learn from many more environment steps in less time.

What I'm Up To

  • Building fast conformer generation tools for molecular simulation and reinforcement learning.
  • Applying reinforcement learning to electric grid optimization.
  • Making money on the stock market with an AI Trading Bot, albeit not very successfully.
  • Building a key-value database from scratch in C: liteDB.

Check out my coding portfolio.

Connect with me

LinkedIn

Tech Stack

Python C C++ CUDA

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  1. liteDB liteDB Public

    A Lightweight In-Memory Database

    C 1

  2. conformer_generation conformer_generation Public

    Reinforcement learning based molecular conformer generation

    C

  3. PacPlatform PacPlatform Public

    A platform for playing pacman with friends

    JavaScript 1

  4. AITradingBot AITradingBot Public

    An NLP powered AI trading bot

    Python 3

  5. purchase-behaviour-modeling purchase-behaviour-modeling Public

    Analyzing user behavior on e-commerce websites to predict revenue generation and optimize sales

    Jupyter Notebook

  6. CVAE-NeuralNetwork CVAE-NeuralNetwork Public

    A PyTorch implementation of Variational Autoencoders (VAE) and Conditional Variational Autoencoders (CVAE) using Deep Neural Networks

    Jupyter Notebook