tiny-cuda-nn

is a small, self-contained framework for training and querying neural networks. Most notably, it contains a lightning fast "fully fused" multi-layer perceptron (technical paper), a versatile multiresolution hash encoding (technical paper), as well as support for various other input encodings, losses, and optimizers.

homepage: https://github.com/NVlabs/tiny-cuda-nn

version	versionsuffix	toolchain
1.6	-CUDA-11.7.0	foss/2022a

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