deep-significance
Enabling easy statistical significance testing for deep neural networks. (by Kaleidophon)
horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. [Moved to: https://github.com/horovod/horovod] (by uber)
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deep-significance | horovod | |
---|---|---|
6 | 1 | |
315 | 11,889 | |
- | - | |
4.0 | 9.4 | |
6 months ago | over 2 years ago | |
Python | Python | |
GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
deep-significance
Posts with mentions or reviews of deep-significance.
We have used some of these posts to build our list of alternatives
and similar projects.
- [P] deep-significance: Enabling easy statistical significance testing for deep neural networks
-
[D] Statistical Significance in Deep RL Papers: What is going on?
Because I was so frustrated by this topics as well, I actually reimplemented and packaged a test specifically for NNs and gave it a lot of documentation in the hope of lowering the entry barrier as much as possible https://github.com/Kaleidophon/deep-significance
- deep-significance: Easy and Better Significance Testing for Deep Neural Networks
- [P] deep-significance: Easy and Better Significance Testing for Deep Neural Networks
- [Project] deep-significance: Easy and Better Significance Testing for Deep Neural Networks (link below)
- [P] deep-significance: Easy and Better Significance Testing for Deep Neural Networks (link below)
horovod
Posts with mentions or reviews of horovod.
We have used some of these posts to build our list of alternatives
and similar projects.
-
[P] Cost of distributed deep learning on AWS
Code for https://arxiv.org/abs/1802.05799 found: https://github.com/uber/horovod
What are some alternatives?
When comparing deep-significance and horovod you can also consider the following projects:
nannyml - nannyml: post-deployment data science in python
tf-encrypted - A Framework for Encrypted Machine Learning in TensorFlow