CrossSim 2.0
CrossSim 2.0 supports neural network inference and training using analog in-memory computing providing data loading and configuration scripts for several common neural networks and datasets which interface with the CrossSim core.
Note: Training support will be removed from subsequent releases until a long-term feature maintainer can be found. If you need training for your research, do not upgrade to later versions.