ANNarchy (Artificial Neural Networks architect) is a parallel and hybrid simulator for distributed rate-coded or spiking neural networks. The core of the library is written in C++ and distributed using openMP or CUDA. It provides an interface in Python for the definition of the networks. It is released under the GNU GPL v2 or later.
The source code is available at:
https://github.com/ANNarchy/ANNarchy
The documentation is available online at:
A forum for discussion is set at:
https://groups.google.com/forum/#!forum/annarchy
Bug reports should be done through the Issue Tracker of ANNarchy on Github.
If you use ANNarchy for your research, we would appreciate if you cite the following paper:
Vitay J, Dinkelbach HÜ and Hamker FH (2015). ANNarchy: a code generation approach to neural simulations on parallel hardware. Frontiers in Neuroinformatics 9:19. doi:10.3389/fninf.2015.00019
- Julien Vitay (julien.vitay@informatik.tu-chemnitz.de).
- Helge Ülo Dinkelbach (helge-uelo.dinkelbach@informatik.tu-chemnitz.de).
- Fred Hamker (fred.hamker@informatik.tu-chemnitz.de).
Using pip, you can install the latest stable release:
pip install ANNarchy
- GNU/Linux
- MacOS X
- g++ >= 6.1 ( >= 7.4 recommended ) or clang++ >= 3.4
- python >= 3.7 with development files
- cython >= 0.20
- setuptools >= 40.0
- numpy >= 1.13
- sympy >= 1.6
- scipy >= 0.19
Recommended:
- matplotlib
- lxml
- PyQtGraph
- pandoc
- tensorboardX