9816903b37a6b8ee0d45993315a7371c68899f6e
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%