Added Hyperlearn

Author: krzjoa

README.md

@@ -51,6 +51,7 @@
 * [mlpack](https://github.com/mlpack/mlpack) - A scalable C++ machine learning library (Python bindings).
 * [dlib](https://github.com/davisking/dlib) - Toolkit for making real world machine learning and data analysis applications in C++ (Python bindings).
 * [MLxtend](https://github.com/rasbt/mlxtend) - Extension and helper modules for Python's data analysis and machine learning libraries. <img height="20" src="img/sklearn_big.png" alt="sklearn">
+* [hyperlearn](https://github.com/danielhanchen/hyperlearn) - 50%+ Faster, 50%+ less RAM usage, GPU support re-written Sklearn, Statsmodels. <img height="20" src="img/sklearn_big.png" alt="sklearn"> <img height="20" src="img/pytorch_big2.png" alt="PyTorch based/compatible">
 * [Reproducible Experiment Platform (REP)](https://github.com/yandex/rep) - Machine Learning toolbox for Humans. <img height="20" src="img/sklearn_big.png" alt="sklearn">
 * [scikit-multilearn](https://github.com/scikit-multilearn/scikit-multilearn) - Multi-label classification for python. <img height="20" src="img/sklearn_big.png" alt="sklearn">
 * [seqlearn](https://github.com/larsmans/seqlearn) - Sequence classification toolkit for Python. <img height="20" src="img/sklearn_big.png" alt="sklearn">