d317317ed28a1f27d0a26163155cd80d86bf42db
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%