Computational Neuroscience
- I have been contributing to the neural network simulator NEST since 2012, see NEST on github.
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We published the code of the Multi-area Visual Cortex model that was developed as part of my PhD thesis at Juelich Research Centre in a public github repository: https://github.com/INM-6/multi-area-model.
- I have co-authored HAL-CGP(github repository), a Python library for Cartesian genetic programming. This library implements Cartesian genetic programming for symbolic regression in pure Python, targeting applications with expensive fitness evaluations. See also the Zenodo reference and hal-cgp on pypi.
Machine Learning
I have a collection of machine learning models that I implemented for testing and educational purposes. The code is hosted in my public github repository: ml_code.
Additional Python software
In addition, I have co-authored two small Python libaries:
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python-dicthash(github repository): A python module that generates md5 hashes from arbitrarily nested dictionaries. See also the documentation website and python-dicthash on pypi. -
h5py_wrapper(github repository): A python module that stores nested dictionaries in hdf5 files, wraps around the h5py library. See also the documentation website and h5py_wrapper on pypi.