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Open Data Hub
Open Data Hub

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Theano
Theano

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Theano vs Open Data Hub: What are the differences?

What is Theano? Define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Theano is a Python library that lets you to define, optimize, and evaluate mathematical expressions, especially ones with multi-dimensional arrays (numpy.ndarray). Using Theano it is possible to attain speeds rivaling hand-crafted C impleme.

What is Open Data Hub? An open source project that provides open source AI tools for running large and distributed AI workloads on OpenShift Container Platform. It is an open source project that provides open source AI tools for running large and distributed AI workloads on OpenShift Container Platform. Currently, It provides open source tools for data storage, distributed AI and Machine Learning (ML) workflows and a Notebook development environment.

Theano and Open Data Hub can be primarily classified as "Machine Learning" tools.

Theano is an open source tool with 9.06K GitHub stars and 2.53K GitHub forks. Here's a link to Theano's open source repository on GitHub.

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What is Open Data Hub?

It is an open source project that provides open source AI tools for running large and distributed AI workloads on OpenShift Container Platform. Currently, It provides open source tools for data storage, distributed AI and Machine Learning (ML) workflows and a Notebook development environment.

What is Theano?

Theano is a Python library that lets you to define, optimize, and evaluate mathematical expressions, especially ones with multi-dimensional arrays (numpy.ndarray). Using Theano it is possible to attain speeds rivaling hand-crafted C impleme
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              What are some alternatives to Open Data Hub and Theano?
              TensorFlow
              TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
              Keras
              Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
              scikit-learn
              scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
              PyTorch
              PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
              ML Kit
              ML Kit brings Google’s machine learning expertise to mobile developers in a powerful and easy-to-use package.
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