This is the official implementation of SIREN (Sinusoidal Representation Networks), a neural network approach that uses periodic activation functions instead of conventional non-linearities. The method enables neural networks to represent complex signals like images and audio directly as functions, and can solve partial differential equations like Poisson’s equation. The paper demonstrates that SIRENs can naturally represent audio, images, and video as well as their derivatives.