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Deepo

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ScalaNLP

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Deepo vs ScalaNLP: What are the differences?

What is Deepo? 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.

What is ScalaNLP? A suite of machine learning and numerical computing libraries. ScalaNLP is a suite of machine learning and numerical computing libraries.

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

Deepo and ScalaNLP are both open source tools. Deepo with 4.89K GitHub stars and 570 forks on GitHub appears to be more popular than ScalaNLP with 2.9K GitHub stars and 670 GitHub forks.

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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 ScalaNLP?

ScalaNLP is a suite of machine learning and numerical computing libraries.

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What tools integrate with Deepo?
What tools integrate with ScalaNLP?
What are some alternatives to Deepo and ScalaNLP?
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.
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.
scikit-learn
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
Keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
CUDA
A parallel computing platform and application programming interface model,it enables developers to speed up compute-intensive applications by harnessing the power of GPUs for the parallelizable part of the computation.
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