phseidl / jku-ml-seminar

Seminar Project and Master Thesis at IML
5 stars 1 forks source link
drug-discovery eeg-analysis eeg-classification machine-learning

Seminar Project and Master's Thesis Repository

This is the official repository for the seminar project and master's thesis project supervised by phseidl, which encompasses two distinct groups: drug-discovery and EEG (Electroencephalography) research. This mono-repository is designed to facilitate coordination, teach version control, and collaboration between you all.

Meetings: every Monday 15:30-16:00 SP3 S318 or via zoom (except holiday, or stated in the issues page)

Voluntary ML4Drug-Discovery-Journal-Club of our Institute: (almost) every Tuesday 13-14:00 zoom

Most important thing: your results should be reproducible and therefore well documented!

Table of Contents

Project Overview

This repository hosts the codebase and related resources for two parallel research streams:

  1. Drug Discovery:

  2. EEG (Electroencephalography) Research:

By maintaining a mono-repository, we aim to streamline collaboration and ensure consistent version control practices.

Directory Structure

Within the projects a suggestion would be:

-- please all try to mentain a README for both projects

each individual project should have a setup.py and a env.yml, README.md, PROGRESS.md, I will provide a base, which you can modify.

Getting Started

To get started with this project, follow these steps:

  1. Clone the repository:

    
    git clone https://github.com/phseidl/jku-ml-seminar23
  2. Select a paper Papers will be in a folder within the two groups in ``.*/data/papers/, you can also propose your own paper for the seminar.

Contributing

Each group is responsible for their own codebase and should follow their established contribution guidelines within their respective subdirectories. Collaboration between groups is encouraged, and any cross-group collaboration should be discussed and documented. Code Style It's essential to maintain consistent coding and documentation standards within each group's codebase. Refer to the specific code style guidelines provided in your group's subdirectory.

Version Control

We use Git for version control. Make sure to follow Git best practices, create branches for feature development or bug fixes, and use descriptive commit messages.

Code Style

It's essential to maintain consistent coding and documentation standards within each group's codebase. Refer to the specific code style guidelines provided in your group's subdirectory.

Communication

Preferably via github ;)

Disclaimer

THIS IS WORK IN PROGRESS -- OPEN FOR SUGGESTIONS