0a7087353d5c21805ecaa66f96d07fa61db8f2f6
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
Languages
Python
54.3%
Jupyter Notebook
45.7%