LightAutoML
nni
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LightAutoML | nni | |
---|---|---|
1 | 5 | |
767 | 13,726 | |
- | 0.9% | |
9.2 | 6.7 | |
about 2 years ago | about 2 months ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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.
LightAutoML
nni
- 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
What are some alternatives?
FEDOT - Automated modeling and machine learning framework FEDOT
optuna - A hyperparameter optimization framework
cookiecutter-data-science - A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
jupyter - Jupyter metapackage for installation, docs and chat
autogluon - AutoGluon: Fast and Accurate ML in 3 Lines of Code
AutoML - This is a collection of our NAS and Vision Transformer work. [Moved to: https://github.com/microsoft/Cream]
lazypredict - Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
hyperopt - Distributed Asynchronous Hyperparameter Optimization in Python
Language_Identifier - Language Identification classification using XGBoost
archai - Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.