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*[chainer_sklearn](https://github.com/corochann/chainer_sklearn) - Sklearn (Scikit-learn) like interface for Chainer. ![alt text][skl]
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*[Aorun](https://github.com/ramon-oliveira/aorun) - Intend to implement an API similar to Keras with PyTorch as backend. <imgheight="20"src="img/pytorch_big2.png"alt="PyTorch based/compatible">
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### Probabilistic Methods
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*[sampled](https://github.com/ColCarroll/sampled) - Decorator for reusable models in PyMC3.
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*[Edward](http://edwardlib.org/) - A library for probabilistic modeling, inference, and criticism. <imgheight="20"src="img/tf_big2.png"alt="sklearn">
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*[Aboleth](https://github.com/data61/aboleth) - A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation. <imgheight="20"src="img/tf_big2.png"alt="sklearn">
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*[skggm](https://github.com/skggm/skggm) - Estimation of general graphical models. <imgheight="20"src="img/sklearn_big.png"alt="sklearn">
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### Data Manipulation
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*[alexander](https://github.com/annoys-parrot/alexander)![alt text][skl]![alt text][pd] - wrapper that aims to make scikit-learn fully compatible with pandas
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*[Fuel](https://github.com/mila-udem/fuel) - Data pipeline framework for machine learning.
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