A Python library for deterministic associative memory in AI agents. Status: toy / research memory. Deterministic associative recall for small agent fact stores and learning Modern Hopfield networks.

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**Abstract**: *Associative memory models, such as Hopfield networks and their modern variants, have garnered renewed interest due to advancements in memory capacity and connections with self-attention ...

Training neural networks to perform different tasks is relevant across various disciplines. In particular, Recurrent Neural Networks (RNNs) are of great interest in Computational Neuroscience.