HyperNeRF implements a neural radiance field (NeRF) technique that represents 3D scenes using neural networks. It extends standard NeRF to handle topologically varying scenes by using a higher-dimensional representation. The codebase is built on JAX and JaxNeRF, supporting training on GPU/TPU and rendering novel views from input images.