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What is MXNet?

A deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, it contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations on the fly.
MXNet is a tool in the Machine Learning Tools category of a tech stack.
MXNet is an open source tool with 17.9K GitHub stars and 6.4K GitHub forks. Here’s a link to MXNet's open source repository on GitHub

Who uses MXNet?

Companies
5 companies reportedly use MXNet in their tech stacks, including ABEJA, Inc., Red Hat BIDS, and smartbooks.

Developers
5 developers on StackShare have stated that they use MXNet.

MXNet Integrations

JavaScript, Python, Java, Scala, and Clojure are some of the popular tools that integrate with MXNet. Here's a list of all 6 tools that integrate with MXNet.

Why developers like MXNet?

Here’s a list of reasons why companies and developers use MXNet
Top Reasons
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MXNet's Features

  • Lightweight
  • Portable
  • Flexible distributed/Mobile deep learning

MXNet Alternatives & Comparisons

What are some alternatives to MXNet?
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.
Keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
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
scikit-learn
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
See all alternatives

MXNet's Followers
5 developers follow MXNet to keep up with related blogs and decisions.
dsouzaraymond77
Bo Shang
Josiah Clark
conradf7
Mohamma76685757