DiffSharp: Differentiable Functional Programming
DiffSharp is a functional automatic differentiation (AD) library implemented in the F# language. It supports C# and the other CLI languages. The library is being developed mainly for research applications in machine learning, by Atılım Güneş Baydin and Barak A. Pearlmutter, within the Brain and Computation Lab, National University of Ireland Maynooth.
Please visit the project website for detailed documentation and examples.
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Copyright (c) 2014–2016, National University of Ireland Maynooth (Atilim Gunes Baydin, Barak A. Pearlmutter)
Written by: Atilim Gunes Baydin & Barak A. Pearlmutter
Brain and Computation Lab Hamilton Institute & Department of Computer Science National University of Ireland Maynooth Maynooth, Co. Kildare Ireland www.bcl.hamilton.ie
DiffSharp is released under the GNU Lesser General Public License (LGPL) version 3. This means that you can integrate DiffSharp as a shared library into your software, which may be commercial, closed-source, or open-source under any license (including non-GPL), provided that you use the unmodified DiffSharp binary and reproduce the above copyright notice with a link to the DiffSharp website. Permitting uses outside of these license terms may be considered on a by-case basis.
This work is supported by Science Foundation Ireland grant 09/IN.1/I2637.