.. _acknowledgement:
Acknowledgements
================
.. note:
This page is in construction. We are missing sources.
* The developers of `NumPy `_. Theano is based on its ndarray object and uses much of its implementation.
* The developers of `SciPy `_. Our sparse matrix support uses their sparse matrix objects. We also reuse other parts.
* All `Theano contributors `_.
* All Theano users that have given us feedback.
* The GPU implementation of tensordot is based on code from Tijmen
Tieleman's `gnumpy `_
* The original version of the function ``cpuCount()`` in the file
`theano/misc/cpucount.py` come from the project `pyprocessing
`_. It is available under the same license
as Theano.
* Our random number generator implementation on CPU and GPU uses the MRG31k3p algorithm that is described in:
P. L'Ecuyer and R. Touzin, `Fast Combined Multiple Recursive Generators with Multipliers of the form a = +/- 2^d +/- 2^e `_, Proceedings of the 2000 Winter Simulation Conference, Dec. 2000, 683--689.
We were authorized by Pierre L'Ecuyer to copy/modify his Java implementation in the `SSJ `_ software and to relicense it under BSD 3-Clauses in Theano.
* A better GPU memory allocator :attr:`CNMeM ` is included in Theano. It has the same license.