-
Apache MXNet is an open-source deep
learning software framework that
trains and
deploys deep
neural networks. It aims to be scalable,
allows fast model...
- 2016-05-19. "
MXNet.js". Github. 28
October 2021. "—
Redirecting to
mxnet.io".
mxnet.readthedocs.io. "Model Gallery". GitHub. 29
October 2022. "Run
MXNet on Multiple...
- The
platform also
features managed instances of
TensorFlow and
Apache MXNet,
where developers can
create their own ML
algorithms from scratch. Regardless...
-
Kubeflow LightGBM ****ut
Mallet Microsoft Cognitive Toolkit ML.NET
mlpack MXNet OpenNN Orange pandas (software) ROOT (TMVA with ROOT) scikit-learn Shogun...
-
trained by po****r
machine learning libraries like TensorFlow,
PyTorch or
MXNet through its own
machine learning library Thinc.
Using Thinc as its backend...
- On
March 2, 2016, Guo
Haria released a port of
SqueezeNet for the
Apache MXNet framework. On June 3, 2016,
Tammy Yang
released a port of
SqueezeNet for...
- "Parity
Volume Set
Specification 2.0". 2003-05-11.
Retrieved 2020-08-28. "
MXNet (.json, .params)". "PBM (.pbm)". "PCAP (.pcap)". "5.2. Open
Capture Files"...
-
distributed deep
learning training using TensorFlow, Keras, PyTorch, and
Apache MXNet.
Horovod is
hosted under the
Linux Foundation AI (LF AI).
Horovod has the...
- "Comparing Frameworks: Deeplearning4j, Torch, Theano, TensorFlow, Caffe, Paddle,
MxNet,
Keras & CNTK".
Archived from the
original on 2017-03-29.
Retrieved 2017-03-29...
- Static,
compiled graph-based
approaches such as TensorFlow, Theano, and
MXNet. They tend to
allow for good
compiler optimization and
easier scaling to...
