Friendly machine learning for the web!
Read our ml5.js Code of Conduct and software licence here!
This project is currently in development.
ml5.js aims to make machine learning approachable for a broad audience of artists, creative coders, and students. The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js.
The library is supported by code examples, tutorials, and sample data sets with an emphasis on ethical computing. Bias in data, stereotypical harms, and responsible crowdsourcing are part of the documentation around data collection and usage.
ml5.js is heavily inspired by Processing and p5.js.
Please read our Code of Conduct, which establishes our commitment to make ml5.js a friendly and welcoming environment.
Usage
Before getting started with ml5.js, review our Code of Conduct. There are several ways you can use the ml5.js library:
-
If you need to use an earlier version for any reason, you can change the version number. The previous versions of ml5.js can be found here. You can use those previous versions by replacing <version>
with the ml5 version of interest:
<script src="https://unpkg.com/ml5@<version>/dist/ml5.min.js"></script>
For example:
<script src="https://unpkg.com/ml5@0.6.1/dist/ml5.min.js"></script>
Note: To access the source code of version 0.12.2
or earlier, please visit the archived repository.
-
You can also reference "latest", but we do not recommend this as your code may break as we update ml5.js.
<script src="https://unpkg.com/ml5@latest/dist/ml5.min.js"></script>
Resources
Code of Conduct
We believe in a friendly internet and community as much as we do in building friendly machine learning for the web. Please refer to our Code of Conduct for our rules for interacting with ml5 as a developer, contributor, or as a person using the library.
Contributing
Want to be a contributor π to the ml5.js library? If yes and you're interested to submit new features, fix bugs, or help develop the ml5.js ecosystem, please go to our CONTRIBUTING documentation to get started.
See CONTRIBUTING π
Acknowledgements
ml5.js is supported by the time and dedication of open source developers from all over the world. Funding and support is generously provided by a Google Education grant at NYU's ITP/IMA program.
Many thanks BrowserStack for providing testing support.
Contributors β¨
Thanks goes to these wonderful people (emoji key):
This project follows the all-contributors specification. Contributions of any kind welcome!