NVIDIA Kaolin Wisp is a PyTorch library powered by NVIDIA Kaolin Core to work with neural fields (including NeRFs, NGLOD, instant-ngp and VQAD). NVIDIA Kaolin Wisp aims to provide a set of common utility functions for performing research on neural fields. This includes datasets, image I/O, mesh processing, and ray utility functions. Wisp also comes with building blocks like differentiable renderers and differentiable data structures (like octrees, hash grids, triplanar features) which are useful to build complex neural fields. It also includes debugging visualization tools, interactive rendering and training, logging, and trainer classes.