An Interactive Machine Learning Toolkit
Marcelle is still experimental and is currently under active development. Breaking changes are expected.
Marcelle is an interactive machine learning toolkit that has been designed to allow ML practitioners, with various levels of expertise, to explore ML and build applications embedding ML models. In particular, Marcelle aims to address the following use cases:
- interactively designing ML-based web applications with small datasets
- teaching ML to an audience without specific skills in ML or CS
- learning about ML concepts through exploratory interactive training and testing
- discovering and exploring expressive (big) ML models.
Marcelle is a web-based reactive toolkit facilitating the design of custom ML pipelines and personalized user interfaces enabling user interactions on the pipeline's constitutive elements.
Using NPM:
npm install @marcellejs/core --saveUsing Yarn:
yarn add @marcellejs/coreTo build for production:
yarn build # OR npm run buildTo build for development (watch mode):
yarn dev # OR npm run devTo generate the typescript declaration files (useful for the rollup example), run yarn build:types in production, or yarn dev:types in development.
Download VSCode and install the following extensions:
- Jules Françoise (@JulesFrancoise), LISN, Université Paris-Saclay, CNRS.
- Baptiste Caramiaux (@bcaramiaux), ISIR, Sorbonne Université, CNRS.
- TypeScript
- Most
- Svelte
- Tailwind CSS
- Tensorflow.js
- Chartjs
- And more...