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Python implementation of the NEAT neuroevolution algorithm

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Are there any plans to creating a NEAT-Mojo ? https://www.modular.com/mojo Even if the current training process doesn't change, it seems like the first step could be a output that can...

**Describe the bug** I set the number of genomes per generation to 250, but 546 were created on the FIRST generation. **To Reproduce** Steps to reproduce the behavior: 1. Create...

Fixes a bug where the initial observation is used over and over again. Ensures the network is rendered even if the environment is not solved or aborted

so I wrote some code and I will put a file below to all of it. and for some reason whenever I run it the generations go quickly and they...

## One-Line Summary On almost all evolved genomes, `FeedForwardNetwork` does not execute all nodes, and many nodes retain their initial value of `0.0`. This manifests itself as a network always...

**Describe the bug.** The print statement of each species' fitness value after each generation is slightly incorrect. In the following, I am referring to the source code of the Population-class...

**Describe the bug** After training, the fittest genome is often not the one that was returned. Instead it seems to return the strongest genome from the final generation. I noticed...

when `initial_connection` value in the config set to fs_neat_hidden, partial_direct, full_direct, and and `num_hidden` is other than zero, creates population of size, different from what is set in config, on...

Adding option for embedding network from another network Simple transfer learning with Options to freeze layers and picking connections to input For example i want make driver ai So i...

Currently, `neat.Checkpointer.restore_checkpoint` loads the checkpoint, along with the configuration used at the time. Would love to be able to load a checkpoint using an updated configuration file, to allow tweaking...