ngc-lava is a public repository for ngc-learn support for converting models to (and running them) in the Loihi 2 Lava framework. This set of tools is useful for prototyping spiking neural network models in ngc-learn and then translating these to work in the Lava simulator and/or on-chip.
For official walkthroughs/lessons on how to use this set of tools with ngc-learn and Lava, please visit the ngc-learn documentation page: https://ngc-learn.readthedocs.io/. For information, including anything related to usage instructions and details related to ngc-learn itself, please refer to the official ngc-learn repo (and its documentation).
This package is distributed under the 3-Clause BSD license.
It is currently maintained by the
Neural Adaptive Computing
(NAC) laboratory.