LightAutoML
autogluon
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| LightAutoML | autogluon | |
|---|---|---|
| 1 | 8 | |
| 767 | 7,091 | |
| - | 3.3% | |
| 9.2 | 9.6 | |
| about 2 years ago | 9 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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
autogluon
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pip install remyxai - easiest way to create custom vision models
This seems not very convincing. There are other popular frameworks that provide AutoML with existing datasets (eg https://github.com/autogluon/autogluon)
- autogluon: NEW Data - star count:5070.0
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[D] Where is AutoML for NNs?
https://github.com/awslabs/autogluon works well for image/text/tabular data
- k-fold bagging in Autogluon - Tabular
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What will the data science job market be like in 5 years?
Some AutoML is getting pretty good, AutoGluon is very solid for tabular data. That being said you still need to have your data in tabular format and deployment still requires some effort.
What are some alternatives?
FEDOT - Automated modeling and machine learning framework FEDOT
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
autokeras - AutoML library for deep learning
cookiecutter-data-science - A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
auto-sklearn - Automated Machine Learning with scikit-learn
jupyter - Jupyter metapackage for installation, docs and chat
lazypredict - Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
imbalanced-regression - [ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
Language_Identifier - Language Identification classification using XGBoost
tabnet - PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf