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@@ -322,6 +322,7 @@ Curated list of data science software in Python
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*[Platypus](https://github.com/Project-Platypus/Platypus) - A Free and Open Source Python Library for Multiobjective Optimization
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*[GPflowOpt](https://github.com/GPflow/GPflowOpt)![alt text][tf] - Bayesian Optimization using GPflow
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*[POT](https://github.com/rflamary/POT) - Python Optimal Transport library
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*[Talos](https://github.com/autonomio/talos) - Hyperparameter Optimization for Keras Models
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<aname="nlp"></a>
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## Natural Language Processing
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*[imgaug](https://github.com/aleju/imgaug) - image augmentation for machine learning experiments
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*[imgaug_extension](https://github.com/cadenai/imgaug_extension) - additional augmentations for imgaug
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*[Augmentor](https://github.com/mdbloice/Augmentor) - Image augmentation library in Python for machine learning
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*[albumentations](https://github.com/albu/albumentations) - fast image augmentation library and easy to use wrapper around other libraries
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<aname="feat-eng"></a>
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## Feature engineering
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*[few](https://github.com/lacava/few)![alt text][skl] - a feature engineering wrapper for sklearn
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*[scikit-rebate](https://github.com/EpistasisLab/scikit-rebate)![alt text][skl] - a scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning
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*[scikit-mdr](https://github.com/EpistasisLab/scikit-mdr)![alt text][skl] - a sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
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*[tsfresh](https://github.com/blue-yonder/tsfresh)![alt text][skl] - Automatic extraction of relevant features from time series
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