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TensorFlow.js vs TransmogrifAI: What are the differences?
Developers describe TensorFlow.js as "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. On the other hand, TransmogrifAI is detailed as "Automated machine learning for structured data (by Salesforce)". TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Spark with minimal hand tuning.
TensorFlow.js and TransmogrifAI can be primarily classified as "Machine Learning" tools.
TensorFlow.js and TransmogrifAI are both open source tools. TensorFlow.js with 11.2K GitHub stars and 816 forks on GitHub appears to be more popular than TransmogrifAI with 1.57K GitHub stars and 271 GitHub forks.
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