Quick Unified Integration of muLTiscale neural networks

cortic_all.mp4

Installation

A virtual environment is highly recommended.

• on Linux:
  • install boost: sudo apt-get install libboost-all-dev
  • update submodules: git submodule init && git submodule update
  • install using pip pip install .
• on Windows: for now only WSL was tested. Install it and follow the instructions for Linux.
• on MacOs: TODO

dev installation

Be sure to have your virtual environment set. For a faster build&install pipeline use the makefile:

• pip install .[dev]
• make

This builds the code and installs it in the virtual environment.

Tests and optimization

The tests folder contains mainly tests for the Cython/Python interface.

Memory and performance profiling were carried out using respectivley massif and callgrind from the valgrind suite, analysed with the linux kcachegrind and massif-visualizer tools.