torchextractor
Feature extraction made simple with torchextractor (by antoinebrl)
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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torchextractor | nni | |
---|---|---|
1 | 5 | |
99 | 13,742 | |
- | 1.0% | |
4.2 | 6.7 | |
about 3 years ago | about 2 months ago | |
Python | Python | |
Apache License 2.0 | 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.
torchextractor
Posts with mentions or reviews of torchextractor.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-03-11.
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[P] Pytorch: Intermediate Feature Extraction
Recently I worked on torchextrator, a standalone python package that makes it simple to extract features in PyTorch. You no longer need to duplicate code and rewrite the forward function. Also the extractor supports nested modules, custom caching operations and is ONNX compatible!
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