Stronghold: Various ML Prohjects + Algo Implementations

Introduction

This repository contains various machine learning projects and algorithm implementations, which I create for fun and learning. This is just a hub for my personal interests and experiments.

Contents of the repo

The repo has a folder "algo" for various algorithms. Other folders are dedicated to different projects.

Note

Each project within this repository may have additional setup or instructions. Please refer to the README.md file within each project's directory for more specialized guidance.

Projects Included:

• SpliceAI: A reimplementation of SpliceAI algorithm based on paper

• Mikrograd: A minimal autograd engine based on micrograd by Andrej Karpathy

• Makemore: A tool for generating synthetic data. Based on the makemore by Andrej Karpathy

• RuPoemGPT: A character-level language model trained on a collection of russian poems. Based on the nanoGPT by Andrej Karpathy

  Also here are some older projects, which were not included into this repository:

• Glycoprotein prediction with AlphaFold2

• Analysis of Long COVID Symptoms using BERT and Twitter Data

• Compound bioactivity prediction

• General Machine Learning Techniques practice

Tech

Note, that this repo has shared python environment, which is defined in Pipfile. The reason is simple - all projects are simple enough to have only standard dependencies with no conflicts.

Note

Some algorithms are implemented in different languages, e.g. C++. The notes how to run them are in the corresponding folders.

Getting Started

These instructions will help you set up the python env for the repo, if you want to run the code locally. I'll use pyenv and pipenv for this, but you can use any other tools you like.

Prerequisites

Ensure you have pyenv and pipenv installed on your system. If not, follow these steps:

• Install pyenv:

  curl https://pyenv.run | bash
  

• Install pipenv:

  pip install pipenv
  

Installation

Follow these steps to get your development environment running:

1. Clone the repository:

   git clone https://github.com/gromdimon/stronghold.git
   

2. Navigate to the project directory:

   cd stronghold
   

3. Set the local Python version using pyenv:

   pyenv install 3.12
   

4. Install pipenv for the local Python version:

   pip install --user pipenv
   

5. Install dependencies using pipenv:

   pipenv install
   

6. Activate the pipenv environment:

   pipenv shell
   

License

Distributed under the MIT License, so you can use it for any purpose :)