syne-tune
auto-sklearn
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| syne-tune | auto-sklearn | |
|---|---|---|
| 1 | 3 | |
| 363 | 7,403 | |
| 1.4% | 0.8% | |
| 8.1 | 1.8 | |
| 9 days ago | 4 months ago | |
| Python | Python | |
| Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
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syne-tune
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Amazon AI Researchers Open-Source ‘Syne Tune’: A Novel Python Library For Distributed HPO With An Emphasis On Enabling Reproducible Machine Learning Research
Continue reading | Checkout the paper, github
auto-sklearn
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Why not AutoML every tabular data?
Efficiency Ignoring the feature engineering aspects aside, a typical data scientist workflow involves trying out the different models. Some of the AutoML modules like H2O AutoML, AutoSklearn does this for you, and allow you to interpret your models. All these save so much time experimenting with the standard models.
- [R] Regularization is all you Need: Simple Neural Nets can Excel on Tabular Data
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What free AutoML library do you recommend?
If you want a more stable AutoML library, i’ll suggest auto-sklearn which optimises performance of sklearn learning algorithms.
What are some alternatives?
SMAC3 - SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
autogluon - Fast and Accurate ML in 3 Lines of Code
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Auto-PyTorch - Automatic architecture search and hyperparameter optimization for PyTorch
Hyperactive - An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
tune-sklearn - A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
OCTIS - OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
pymarl2 - Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)
on-policy - This is the official implementation of Multi-Agent PPO (MAPPO).
iterative-stratification - scikit-learn cross validators for iterative stratification of multilabel data