Python implementation of NEAT (NeuroEvolution of Augmenting Topologies), a method developed by Kenneth O. Stanley for evolving arbitrary neural networks.
1 maintainer
Release files for neat-python 0.8
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| neat-python-0.8.tar.gz | 20.8 kB | Details |
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| neat_python-0.8-py3-none-any.whl | Python 3 | none | any | Details |
| neat_python-0.8-py2-none-any.whl | Python 2 | none | any | Details |
Total release size: 74.9 kB
Release files / neat-python-0.8.tar.gz
| Download URL | neat-python-0.8.tar.gz |
|---|---|
| Size | 20.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / neat_python-0.8-py3-none-any.whl
| Download URL | neat_python-0.8-py3-none-any.whl |
|---|---|
| Size | 27.0 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / neat_python-0.8-py2-none-any.whl
| Download URL | neat_python-0.8-py2-none-any.whl |
|---|---|
| Size | 27.0 kB |
| Tags | Python 2 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
