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Deepo vs TensorFlow.js

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Deepo
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14
+ 1
0
TensorFlow.js
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+ 1
18
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Deepo vs TensorFlow.js: What are the differences?

Developers describe Deepo as "A Docker image containing almost all popular deep learning frameworks". Deepo is a Docker image with a full reproducible deep learning research environment. It contains most popular deep learning frameworks: theano, tensorflow, sonnet, pytorch, keras, lasagne, mxnet, cntk, chainer, caffe, torch. On the other hand, TensorFlow.js is detailed 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.

Deepo and TensorFlow.js can be primarily classified as "Machine Learning" tools.

Deepo and TensorFlow.js are both open source tools. It seems that TensorFlow.js with 11.2K GitHub stars and 816 forks on GitHub has more adoption than Deepo with 4.92K GitHub stars and 578 GitHub forks.

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Pros of Deepo
Pros of TensorFlow.js
    Be the first to leave a pro
    • 6
      Open Source
    • 5
      NodeJS Powered
    • 2
      Deploy python ML model directly into javascript
    • 1
      Cost - no server needed for inference
    • 1
      Privacy - no data sent to server
    • 1
      Runs Client Side on device
    • 1
      Can run TFJS on backend, frontend, react native, + IOT
    • 1
      Easy to share and use - get more eyes on your research

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    What is Deepo?

    Deepo is a Docker image with a full reproducible deep learning research environment. It contains most popular deep learning frameworks: theano, tensorflow, sonnet, pytorch, keras, lasagne, mxnet, cntk, chainer, caffe, torch.

    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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    What companies use Deepo?
    What companies use TensorFlow.js?
      No companies found
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      What tools integrate with Deepo?
      What tools integrate with TensorFlow.js?
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