[](https://github.com/djanloo/quilt/actions/workflows/ci.yml) [](https://djanloo.github.io/quilt/) Quick Unified Integration of muLTiscale neural networks https://github.com/user-attachments/assets/bc45ee0b-0610-40a4-8ea2-2879ace5e6c7 ## 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](https://learn.microsoft.com/en-us/windows/wsl/install) 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.