Python implementation of NEAT (NeuroEvolution of Augmenting Topologies), a method developed by Kenneth O. Stanley for evolving arbitrary neural networks.
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Release files for neat-python-gicminos 0.96
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Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| neat-python-gicminos-0.96.tar.gz | 36.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| neat_python_gicminos-0.96-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 80.1 kB
Release files / neat-python-gicminos-0.96.tar.gz
| Download URL | neat-python-gicminos-0.96.tar.gz |
|---|---|
| Size | 36.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.4
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Release files / neat_python_gicminos-0.96-py3-none-any.whl
| Download URL | neat_python_gicminos-0.96-py3-none-any.whl |
|---|---|
| Size | 44.2 kB |
| Tags | Python 3 |
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twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.4
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