pytorch-neat

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my question is: this NEAT algorithm works well on XOR-experiment(2 input and 2 output), but I use it on a 3-input function, it works less efficient than XOR-experiment.

2

**Describe the bug** A clear and concise description of what the bug is. **To Reproduce** Steps to reproduce the behavior: 1. Go to '...' 2. Click on '....' 3. Scroll...

luzd19

Evolving Activation function choices

3

**Is your feature request related to a problem? Please describe.** I would like to see if we can evolve activation function choices like in the original Python NEAT **Describe the...

GautamSridhar

Are the weights optimized by the autograd of torch?

5

Hi, I understand that the topology is optimized through EA. How the weights are optimized. EA method or backpropagating by torch?

kevin031060

RuntimeError

1

**Describe the bug** RuntimeError: _th_normal is not implemented for type torch.LongTensor **To Reproduce** Steps to reproduce the behavior: python xor_run.py **Expected behavior** no error **Screenshots** If applicable, add screenshots to...

wangfrombupt

I would like to know if the automatic differentiation mechanism in PyTorch will work if I use error backpropagation to train the final solution.

g1g122

Bumps [tqdm](https://github.com/tqdm/tqdm) from 4.64.0 to 4.66.3. Release notes Sourced from tqdm's releases. tqdm v4.66.3 stable cli: eval safety (fixes CVE-2024-34062, GHSA-g7vv-2v7x-gj9p) tqdm v4.66.2 stable pandas: add DataFrame.progress_map (#1549) notebook: fix...

dependabot[bot]

Bumps [torch](https://github.com/pytorch/pytorch) from 1.11.0 to 2.2.0. Release notes Sourced from torch's releases. PyTorch 2.2: FlashAttention-v2, AOTInductor PyTorch 2.2 Release Notes Highlights Backwards Incompatible Changes Deprecations New Features Improvements Bug fixes...

dependabot[bot]