Top 5 Open-Source Alternatives to Tensor2Tensor

Tensor2Tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research. - tensorflow/tensor2tensor.

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Data Science And Machine Learning Data Science Tools Python Tools AI Machine Learning Software Libraries Image Analysis OCR Technical Computing

Summary

The top open-source alternatives to Tensor2Tensor are Keras, TensorFlow, and Scikit-learn. One of the criteria for ordering this list is the number of mentions that products have on reliable external sources. You can suggest additional sources through the form here.

Keras Landing Page
1

Keras

Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Pricing:
- Open Source
#Data Science And Machine Learning #Machine Learning #OCR 35 social mentions
TensorFlow Landing Page
2

TensorFlow

TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
Pricing:
- Open Source
#Data Science And Machine Learning #Machine Learning #AI 8 social mentions
Scikit-learn Landing Page
3

Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Pricing:
- Open Source
#Data Science And Machine Learning #Data Science Tools #Software Libraries 40 social mentions
PyTorch Landing Page
4

PyTorch

Open source deep learning platform that provides a seamless path from research prototyping to...
Pricing:
- Open Source
#Data Science And Machine Learning #AI #Data Science Tools 144 social mentions
MLKit Landing Page
5

MLKit

MLKit is a simple machine learning framework written in Swift.
Pricing:
- Open Source
#Data Science And Machine Learning #Data Science Tools #Software Libraries