Christoph Schmidt-Hieber's Projects
Python implementation of a source extraction and spike inference algorithm for large scale calcium imaging data analysis, based on a constrained matrix factorization approach.
EncFS and TrueCrypt on Android
Invert luminance of image files without changing colours for presentations in dark mode
Markerless pose estimation of user-defined features with deep learning for all animals, including humans
EncFS: an Encrypted Filesystem for FUSE.
A collection of virtual-reality tools for biomedical research
Handling 2-photon imaging datasets in Python
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.
A useless cat.
The MacPorts ports tree
NEURON on Android
MacPorts Portfiles for NEURON and InterViews
Open Source Computer Vision Library
OpenMV Camera Module
wxPython's Project Phoenix. A new implementation of wxPython, better, stronger, faster than he was before.
Code accompanying Schmidt-Hieber et al., 2017
Python package for analysis of dynamic fluorescence microscopy data
A program for viewing and analyzing electrophysiological data
cell detection in calcium imaging recordings
C++ code to read a TDMs from National Instruments
Large-scale neural data analysis with Spark
TrueCrypt ported to wxWidgets 3.0, and some patches to build a 64-bit version on OS X.
wxPython is a wrapper around wxWidgets for the Python language. This is the repository for "Classic" wxPython. All new development is happening in the Phoenix project at https://github.com/wxWidgets/Phoenix
Simulation code accompanying Zhang et al 2021
Simulation code accompanying Zhang et al. 2024
Basic analysis of dual-recorded .fit files