PyBrain
Abstract
PyBrain is a versatile machine learning library for Python. Its goal is to provide flexible, easy-to-use yet still powerful algorithms for machine learning tasks, including a variety of predefined environments and benchmarks to test and compare algorithms. Implemented algorithms include Long Short-Term Memory (LSTM), policy gradient methods, (multidimensional) recurrent neural networks and deep belief networks.
Cite
Text
Schaul et al. "PyBrain." Journal of Machine Learning Research, 2010.Markdown
[Schaul et al. "PyBrain." Journal of Machine Learning Research, 2010.](https://mlanthology.org/jmlr/2010/schaul2010jmlr-pybrain/)BibTeX
@article{schaul2010jmlr-pybrain,
title = {{PyBrain}},
author = {Schaul, Tom and Bayer, Justin and Wierstra, Daan and Sun, Yi and Felder, Martin and Sehnke, Frank and Rückstieß, Thomas and Schmidhuber, Jürgen},
journal = {Journal of Machine Learning Research},
year = {2010},
pages = {743-746},
volume = {11},
url = {https://mlanthology.org/jmlr/2010/schaul2010jmlr-pybrain/}
}