This package implements some minimal functionality to train neural fields using keras-core library. It will also feature some extra functionality when working with spatiotemporal datasets. I would eventually like it to have an efficient implementation for introducing modulation within each of the models.

Fourier Features. The canonical method for Fourier Features.

SIREN. The canonical method that uses sinusoidal activation functions with a special initialization procedure.

FourierNet (TODO)

GaborNet (TODO)

Spherical Harmonics (TODO)

Modulation (TODO)

We can install it directly through pip

pip install git+https://github.com/jejjohnson/knerf

We also use poetry for the development environment.

git clone https://github.com/jejjohnson/knerf.git
cd knerf
conda create -n knerf python=3.11 poetry
poetry install

Software

• jaxdf - Arbitrary Discretizations
• diffrax (example) - example of diffrax (and equinox) with an finite difference discretization