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Data Theft Repackaged: A Case Study in Malicious Wrapper Packages on npm
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
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.
Before getting started with ml5.js, review our Code of Conduct. There are several ways you can use the ml5.js library:
You can use the latest version (1.2.1) by adding it to the head section of your HTML document:
v1.2.1
<script src="https://unpkg.com/ml5@1.2.1/dist/ml5.js"></script>
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>
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.
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
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.
Thanks goes to these wonderful people (emoji key):
This project follows the all-contributors specification. Contributions of any kind welcome!
FAQs
A friendly machine learning library for the web.
The npm package ml5 receives a total of 5,299 weekly downloads. As such, ml5 popularity was classified as popular.
We found that ml5 demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago.Β It has 0 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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