https://github.com/marcellejs/marcelle
An Interactive Machine Learning Toolkit
https://github.com/marcellejs/marcelle
interactive-machine-learning
Last synced: about 1 year ago
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An Interactive Machine Learning Toolkit
- Host: GitHub
- URL: https://github.com/marcellejs/marcelle
- Owner: marcellejs
- License: mit
- Created: 2020-06-26T13:37:00.000Z (almost 6 years ago)
- Default Branch: main
- Last Pushed: 2024-09-17T14:10:49.000Z (over 1 year ago)
- Last Synced: 2024-09-18T10:53:01.823Z (over 1 year ago)
- Topics: interactive-machine-learning
- Language: TypeScript
- Homepage: https://marcelle.dev
- Size: 34.8 MB
- Stars: 44
- Watchers: 5
- Forks: 7
- Open Issues: 5
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
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README
Marcelle
An Interactive Machine Learning Toolkit
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[](/LICENSE)
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## Status ⚠️
Marcelle is still experimental and is currently under active development. Breaking changes are expected at every minor version.
## About
Marcelle is a modular open source toolkit for programming interactive machine learning applications. Marcelle is built around components embedding computation and interaction that can be composed to form reactive machine learning pipelines and custom user interfaces. This architecture enables rapid prototyping and extension. Marcelle can be used to build interfaces to Python scripts, and it provides flexible data stores to facilitate collaboration between machine learning experts, designers and end users.
## Getting started
[See online documentation](https://marcelle.dev/guide/)
```bash
npm init marcelle marcelle-tutorial
cd marcelle-tutorial
npm install
npm run dev -- --open
```
## Usage
See [Online Documentation](https://marcelle.dev)
## Contributing
See [CONTRIBUTING.md](./CONTRIBUTING.md)
## ✍️ Credits
Marcelle is a research project led by [Jules Françoise](https://www.julesfrancoise.com/) (CNRS researcher at [LISN](https://www.lisn.upsaclay.fr/)) and [Baptiste Caramiaux](https://baptistecaramiaux.com/) (CNRS researcher at [ISIR](https://hci.isir.upmc.fr/)).
This research was supported by the [ELEMENT project](https://element-project.ircam.fr/) (ANR-18-CE33-0002) from the French National Research Agency.
### Authors
- [Jules Françoise](https://www.julesfrancoise.com/) (CNRS researcher at [LISN](https://www.lisn.upsaclay.fr/))
- [Baptiste Caramiaux](https://baptistecaramiaux.com/) (CNRS researcher at [ISIR](https://hci.isir.upmc.fr/)).
- [Téo Sanchez](https://teo-sanchez.github.io/) (PhD Student at [LISN](https://www.lisn.upsaclay.fr/))
### Citing this work
Please cite the following publication when refering to Marcelle in academic publications:
> Jules Françoise, Baptiste Caramiaux, Téo Sanchez. **Marcelle: Composing Interactive Machine Learning Workflows and Interfaces.** Annual ACM Symposium on User Interface Software and Technology (UIST ’21), Oct 2021, Virtual. DOI: [10.1145/3472749.3474734](https://doi.org/10.1145/3472749.3474734).
> [PDF](https://hal.archives-ouvertes.fr/hal-03335115/document)
### Supporting institutions
- [CNRS](https://www.cnrs.fr)
- [Université Paris Saclay](https://www.universite-paris-saclay.fr/)
- [Sorbonne Université](https://www.sorbonne-universite.fr/)
- [Inria](https://www.inria.fr/)
## 🔨 Built Using
- [TypeScript](https://www.typescriptlang.org/)
- [Most](https://github.com/mostjs/core)
- [Svelte](https://svelte.dev/)
- [Tailwind CSS](https://tailwindcss.com/)
- [Tensorflow.js](https://js.tensorflow.org/)
- [Chartjs](https://www.chartjs.org/)
- And more...
## 🎉 Acknowledgements
- [Teachable Machine](https://teachablemachine.withgoogle.com/)
- [Wekinator](http://www.wekinator.org/)