A comprehensive software platform for multimodal learning and biomedical research, developed by the Knowledge Engineering and Discovery Research Institute (KEDRI) at Auckland University of Technology (AUT), New Zealand.
- Multimodal learning capabilities
- Reproducibility and experiment tracking with MLflow integration
- Extensible architecture for easy integration of new techniques and models
Download the latest executable installer from the releases page. Run the installer and follow the on-screen instructions to install NeuroGeMS on your system.
Ensure you have Node v16.2.0 and Python 3.9 installed, then clone this repository. After it's cloned, navigate to the project's root directory on your computer and run the following scripts in a terminal application (e.g., Git Bash):
Install Python dependencies:
pip3 install -r requirements.txtInstall Node dependencies:
yarn installElectron: Electron's main.js, preload.js, and renderer.js files can be found in the project's root directory.
React: React files can be found in the ./src/ folder, the custom toolbar is in ./src/components/toolbar.
Python: Python scripts can be created in the ./app.py file and used on events via REST calls.
Below are the scripts you can run to package the application. The complete list of scripts that are available can be found in the package.json file of the project's root directory, in the scripts section.
⚠️ When packaging, you must install PyInstaller and add its path in your environment variables.
Start Developer Mode:
yarn run startPackage Windows:
yarn run build:package:windowsPackage macOS:
yarn run build:package:macPackage Linux:
yarn run build:package:linuxNeuroGeMS leverages the following open-source projects:
- Electron React Python Template - Multi-platform Electron template, using React & Redux Toolkit with Python/Flask microservices.
- Minimal UI Kit - React dashboard built with Material UI components.
Report any bugs on the project's issues page. Be sure to include steps to reproduce so they can be spotted easily.
GNU Affero General Public License v3.0 © KEDRI-AUT