orion
Asynchronous Distributed Hyperparameter Optimization. (by Epistimio)
nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning. (by microsoft)
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| orion | nni | |
|---|---|---|
| 1 | 5 | |
| 279 | 13,742 | |
| 0.7% | 1.0% | |
| 7.4 | 6.7 | |
| 5 months ago | about 2 months ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | MIT License |
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.
orion
Posts with mentions or reviews of orion.
We have used some of these posts to build our list of alternatives
and similar projects.
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Git token, how to I encourage git to have me put in a username and password?
$ git remote show origin [email protected]:Epistimio/orion.git << SSH $ git remote show origin https://github.com/Epistimio/orion.git << HTTPs
nni
Posts with mentions or reviews of nni.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-10-04.
- Filter Pruning for PyTorch
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Automated Machine Learning (AutoML) - 9 Different Ways with Microsoft AI
For a complete tutorial, navigate to this Jupyter Notebook: https://github.com/microsoft/nni/blob/master/examples/notebooks/tabular_data_classification_in_AML.ipynb
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[D] Efficient ways of choosing number of layers/neurons in a neural network
optuna, hyperopt, nni, plenty of less-known tools too.
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Top 10 Developer Trends, Sun Oct 18 2020
microsoft / nni