a778921892e2b62ada93105971138de901550f70
TensorNEAT: Tensorized NeuroEvolution of Augmenting Topologies for GPU Acceleration
TensorNEAT is a powerful tool that utilizes JAX to implement the NEAT (NeuroEvolution of Augmenting Topologies) algorithm. It provides support for parallel execution of tasks such as forward network computation, mutation, and crossover at the population level.
Description
MEND: Modular Evolutionary Neuroduplication — TensorNEAT fork with module duplication operator
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Python
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Jupyter Notebook
45.7%