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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. I have recently seen the power of RL (miss me with LLM RL) and wish to harness some of it. Here is an example from my twitter acount: laser-puzzle

What I'm Up To

  • Building a fast conformer generation reinforcement learning environment conformer generation.
  • 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.

Favorite Languages

Python C C++ CUDA

Pinned Loading

  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. AITradingBot AITradingBot Public

    An NLP powered AI trading bot

    Python 3

  4. CVAE-NeuralNetwork CVAE-NeuralNetwork Public

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

    Jupyter Notebook

  5. PacPlatform PacPlatform Public

    A platform for playing pacman with friends

    JavaScript 1

  6. nvMolKit nvMolKit Public

    Forked from NVIDIA-BioNeMo/nvMolKit

    A high-performance, GPU-accelerated library for key computational chemistry tasks, such as molecular similarity, conformer generation, and geometry relaxation.

    Cuda