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Propel vs TensorFlow.js: What are the differences?
What is Propel? Machine learning for JavaScript. Propel provides a GPU-backed numpy-like infrastructure for scientific computing in JavaScript.
What is TensorFlow.js? Machine Learning in JavaScript. Use flexible and intuitive APIs to build and train models from scratch using the low-level JavaScript linear algebra library or the high-level layers API.
Propel and TensorFlow.js can be primarily classified as "Machine Learning" tools.
Propel and TensorFlow.js are both open source tools. TensorFlow.js with 11.1K GitHub stars and 801 forks on GitHub appears to be more popular than Propel with 2.81K GitHub stars and 83 GitHub forks.
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Pros of TensorFlow.js
Pros of Propel
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Pros of TensorFlow.js
- Open Source6
- NodeJS Powered5
- Deploy python ML model directly into javascript2
- Cost - no server needed for inference1
- Privacy - no data sent to server1
- Runs Client Side on device1
- Can run TFJS on backend, frontend, react native, + IOT1
- Easy to share and use - get more eyes on your research1
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What is Propel?
Propel provides a GPU-backed numpy-like infrastructure for scientific computing in JavaScript.
What is TensorFlow.js?
Use flexible and intuitive APIs to build and train models from scratch using the low-level JavaScript linear algebra library or the high-level layers API
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Jobs that mention Propel and TensorFlow.js as a desired skillset
What companies use Propel?
What companies use TensorFlow.js?
What companies use Propel?
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What are some alternatives to Propel and TensorFlow.js?
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