NeuroEvolution in Python backed by C++ computations

These details have not been verified by PyPI

Project links

Project description

Artificial Brains (ABrain) for Python

C++/Python implementation of fully evolvable Artificial Neural Networks. Uses the ES-HyperNEAT algorithms to indirectly encode ANNs with bio-mimetic patterns (repetitions, symmetry...), large number of neurons and relative robustness to input/output variations between generations. The API is served in Python and computations are performed in C++.

PEP8

tested on latest

Development

Optional dependencies:

Graphviz (dot)

To generate directed graphs for the genomes. Can only be fetched by system installer (apt-get, yum, ...). See https://graphviz.org/download/ for instructions

Kaleido

To generate non-interactive images of ANN (through plotly). Due to inconsistent support, left as an optional dependency. Use pip install abrain[...,kaleido] to get it

Todo list:

Functionalities:
- Order-independent ANN evaluation (with back buffer)?
- Crossover / historical markings
  - Actually needed?
- MANN Integration
  - Easy extraction
  - built-in testing
  - C++ wrapper
  - Visu
- Misc:
  - Documentation
    - Advanced usage
    - move to scikit/poetry/... ?
- CI/CD
  - Recent install gives no loadimage plugion for "svg:cairo" for pdf output

Project details

These details have not been verified by PyPI

Project links

Release history Release notifications | RSS feed

This version

1.0rc0.post7 pre-release

May 26, 2024

1.0rc0.post5 pre-release

Mar 15, 2024

1.0rc0.post3 pre-release

Apr 14, 2023

1.0rc0 pre-release

Jan 20, 2023

0.1b0 pre-release

Jan 5, 2023

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

abrain-1.0rc0.post7.tar.gz (142.4 kB view details)

Uploaded May 26, 2024 Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

The dropdown lists show the available interpreters, ABIs, and platforms. Enable javascript to be able to filter the list of wheel files.

abrain-1.0rc0.post7-pp310-pypy310_pp73-win_amd64.whl (452.8 kB view details)

Uploaded May 26, 2024 PyPyWindows x86-64

abrain-1.0rc0.post7-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (539.7 kB view details)

Uploaded May 26, 2024 PyPymanylinux: glibc 2.17+ x86-64

abrain-1.0rc0.post7-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (553.4 kB view details)

Uploaded May 26, 2024 PyPymanylinux: glibc 2.17+ i686

abrain-1.0rc0.post7-pp310-pypy310_pp73-macosx_10_9_x86_64.whl (506.8 kB view details)

Uploaded May 26, 2024 PyPymacOS 10.9+ x86-64

abrain-1.0rc0.post7-pp39-pypy39_pp73-win_amd64.whl (452.8 kB view details)

Uploaded May 26, 2024 PyPyWindows x86-64

abrain-1.0rc0.post7-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (539.7 kB view details)

Uploaded May 26, 2024 PyPymanylinux: glibc 2.17+ x86-64

abrain-1.0rc0.post7-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (553.4 kB view details)

Uploaded May 26, 2024 PyPymanylinux: glibc 2.17+ i686

abrain-1.0rc0.post7-pp39-pypy39_pp73-macosx_10_9_x86_64.whl (506.8 kB view details)

Uploaded May 26, 2024 PyPymacOS 10.9+ x86-64

abrain-1.0rc0.post7-pp38-pypy38_pp73-win_amd64.whl (452.7 kB view details)

Uploaded May 26, 2024 PyPyWindows x86-64

abrain-1.0rc0.post7-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (539.9 kB view details)

Uploaded May 26, 2024 PyPymanylinux: glibc 2.17+ x86-64

abrain-1.0rc0.post7-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (552.6 kB view details)

Uploaded May 26, 2024 PyPymanylinux: glibc 2.17+ i686

abrain-1.0rc0.post7-pp38-pypy38_pp73-macosx_10_9_x86_64.whl (506.8 kB view details)

Uploaded May 26, 2024 PyPymacOS 10.9+ x86-64

abrain-1.0rc0.post7-cp312-cp312-win_amd64.whl (457.5 kB view details)

Uploaded May 26, 2024 CPython 3.12Windows x86-64

abrain-1.0rc0.post7-cp312-cp312-win32.whl (387.2 kB view details)

Uploaded May 26, 2024 CPython 3.12Windows x86

abrain-1.0rc0.post7-cp312-cp312-musllinux_1_2_x86_64.whl (1.5 MB view details)

Uploaded May 26, 2024 CPython 3.12musllinux: musl 1.2+ x86-64

abrain-1.0rc0.post7-cp312-cp312-musllinux_1_2_i686.whl (1.6 MB view details)

Uploaded May 26, 2024 CPython 3.12musllinux: musl 1.2+ i686

abrain-1.0rc0.post7-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (532.9 kB view details)

Uploaded May 26, 2024 CPython 3.12manylinux: glibc 2.17+ x86-64

abrain-1.0rc0.post7-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl (546.5 kB view details)

Uploaded May 26, 2024 CPython 3.12manylinux: glibc 2.17+ i686

abrain-1.0rc0.post7-cp312-cp312-macosx_11_0_arm64.whl (477.6 kB view details)

Uploaded May 26, 2024 CPython 3.12macOS 11.0+ ARM64

abrain-1.0rc0.post7-cp312-cp312-macosx_10_9_x86_64.whl (515.2 kB view details)

Uploaded May 26, 2024 CPython 3.12macOS 10.9+ x86-64

abrain-1.0rc0.post7-cp311-cp311-win_amd64.whl (452.2 kB view details)

Uploaded May 26, 2024 CPython 3.11Windows x86-64

abrain-1.0rc0.post7-cp311-cp311-win32.whl (389.8 kB view details)

Uploaded May 26, 2024 CPython 3.11Windows x86

abrain-1.0rc0.post7-cp311-cp311-musllinux_1_2_x86_64.whl (1.5 MB view details)

Uploaded May 26, 2024 CPython 3.11musllinux: musl 1.2+ x86-64

abrain-1.0rc0.post7-cp311-cp311-musllinux_1_2_i686.whl (1.6 MB view details)

Uploaded May 26, 2024 CPython 3.11musllinux: musl 1.2+ i686

abrain-1.0rc0.post7-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (541.0 kB view details)

Uploaded May 26, 2024 CPython 3.11manylinux: glibc 2.17+ x86-64

abrain-1.0rc0.post7-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl (554.6 kB view details)

Uploaded May 26, 2024 CPython 3.11manylinux: glibc 2.17+ i686

abrain-1.0rc0.post7-cp311-cp311-macosx_11_0_arm64.whl (475.4 kB view details)

Uploaded May 26, 2024 CPython 3.11macOS 11.0+ ARM64

abrain-1.0rc0.post7-cp311-cp311-macosx_10_9_x86_64.whl (507.7 kB view details)

Uploaded May 26, 2024 CPython 3.11macOS 10.9+ x86-64

abrain-1.0rc0.post7-cp310-cp310-win_amd64.whl (451.4 kB view details)

Uploaded May 26, 2024 CPython 3.10Windows x86-64

abrain-1.0rc0.post7-cp310-cp310-win32.whl (388.9 kB view details)

Uploaded May 26, 2024 CPython 3.10Windows x86

abrain-1.0rc0.post7-cp310-cp310-musllinux_1_2_x86_64.whl (1.5 MB view details)

Uploaded May 26, 2024 CPython 3.10musllinux: musl 1.2+ x86-64

abrain-1.0rc0.post7-cp310-cp310-musllinux_1_2_i686.whl (1.6 MB view details)

Uploaded May 26, 2024 CPython 3.10musllinux: musl 1.2+ i686

abrain-1.0rc0.post7-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (539.7 kB view details)

Uploaded May 26, 2024 CPython 3.10manylinux: glibc 2.17+ x86-64

abrain-1.0rc0.post7-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (553.8 kB view details)

Uploaded May 26, 2024 CPython 3.10manylinux: glibc 2.17+ i686

abrain-1.0rc0.post7-cp310-cp310-macosx_11_0_arm64.whl (474.4 kB view details)

Uploaded May 26, 2024 CPython 3.10macOS 11.0+ ARM64

abrain-1.0rc0.post7-cp310-cp310-macosx_10_9_x86_64.whl (506.1 kB view details)

Uploaded May 26, 2024 CPython 3.10macOS 10.9+ x86-64

abrain-1.0rc0.post7-cp39-cp39-win_amd64.whl (434.6 kB view details)

Uploaded May 26, 2024 CPython 3.9Windows x86-64

abrain-1.0rc0.post7-cp39-cp39-win32.whl (389.3 kB view details)

Uploaded May 26, 2024 CPython 3.9Windows x86

abrain-1.0rc0.post7-cp39-cp39-musllinux_1_2_x86_64.whl (1.5 MB view details)

Uploaded May 26, 2024 CPython 3.9musllinux: musl 1.2+ x86-64

abrain-1.0rc0.post7-cp39-cp39-musllinux_1_2_i686.whl (1.6 MB view details)

Uploaded May 26, 2024 CPython 3.9musllinux: musl 1.2+ i686

abrain-1.0rc0.post7-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (537.0 kB view details)

Uploaded May 26, 2024 CPython 3.9manylinux: glibc 2.17+ x86-64

abrain-1.0rc0.post7-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (551.5 kB view details)

Uploaded May 26, 2024 CPython 3.9manylinux: glibc 2.17+ i686

abrain-1.0rc0.post7-cp39-cp39-macosx_11_0_arm64.whl (474.5 kB view details)

Uploaded May 26, 2024 CPython 3.9macOS 11.0+ ARM64

abrain-1.0rc0.post7-cp39-cp39-macosx_10_9_x86_64.whl (506.2 kB view details)

Uploaded May 26, 2024 CPython 3.9macOS 10.9+ x86-64

abrain-1.0rc0.post7-cp38-cp38-win_amd64.whl (451.6 kB view details)

Uploaded May 26, 2024 CPython 3.8Windows x86-64

abrain-1.0rc0.post7-cp38-cp38-win32.whl (389.1 kB view details)

Uploaded May 26, 2024 CPython 3.8Windows x86

abrain-1.0rc0.post7-cp38-cp38-musllinux_1_2_x86_64.whl (1.5 MB view details)

Uploaded May 26, 2024 CPython 3.8musllinux: musl 1.2+ x86-64

abrain-1.0rc0.post7-cp38-cp38-musllinux_1_2_i686.whl (1.6 MB view details)

Uploaded May 26, 2024 CPython 3.8musllinux: musl 1.2+ i686

abrain-1.0rc0.post7-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (532.0 kB view details)

Uploaded May 26, 2024 CPython 3.8manylinux: glibc 2.17+ x86-64

abrain-1.0rc0.post7-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (547.6 kB view details)

Uploaded May 26, 2024 CPython 3.8manylinux: glibc 2.17+ i686

abrain-1.0rc0.post7-cp38-cp38-macosx_10_9_x86_64.whl (506.1 kB view details)

Uploaded May 26, 2024 CPython 3.8macOS 10.9+ x86-64

File details

Details for the file abrain-1.0rc0.post7.tar.gz.

File metadata

Download URL: abrain-1.0rc0.post7.tar.gz
Upload date: May 26, 2024
Size: 142.4 kB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for abrain-1.0rc0.post7.tar.gz
Algorithm	Hash digest
SHA256	`03567ee718afd66890303e6bcaa11676edaa1c50bad616780abede3920819f95`
MD5	`ccf2c52daaa33fa555a6e7b41ab6cc78`
BLAKE2b-256	`88443e1e8ecc434496767e6653e7b9d7efbaf32527c1b6d2e7114ce64b6e0a7a`

Algorithm	Hash digest
SHA256	`6020dde7e2cbe55ed2bc03d5749ebbf559bce18b33f143550331b3fd425d7f59`
MD5	`e0872035b906a12ad91b543c6ab0c0ae`
BLAKE2b-256	`0555ad17d9b51fa42c04155dcc44c35e799349c03fdf55dcb6b2eda57fc6c6d6`

Algorithm	Hash digest
SHA256	`95843427f5e88ed323bff551e1bdd62a98a4354cad644e4144d6ab1787d94551`
MD5	`e01dcc2ebbe7da76eebdc0715258b7d6`
BLAKE2b-256	`306cef1a39ae6dec51cf5e858ff3f07420ddbec4e05838dad455837529286bed`

Algorithm	Hash digest
SHA256	`069b92aa618ed8e5e3497176ea5c9bf69fe6c2f5ae74de1ffc8d39e9fd9b41b2`
MD5	`82c0cd6bafb029dc40c67598a8203b79`
BLAKE2b-256	`6770ba73b33923206fe0144d77df134f6cce5eebc319453f50b66da61ff9c253`

Algorithm	Hash digest
SHA256	`975c139942f2b6ce22faeafb85c3164a6cd2af3b444ab6320bd75caea83a5d79`
MD5	`568b40b946ceb43e435ca2c7d0068b93`
BLAKE2b-256	`efd4958ff402ceec882edc3d5b609a374add0609ebb49e36eb06b4d0d2665189`

Algorithm	Hash digest
SHA256	`123a6403f3b6d59bae93c7813da7e309e345e22813165889988ebd29f9893a65`
MD5	`2553766382bcd5a89dcc34251b2ed821`
BLAKE2b-256	`efb069b878cfe28668f598c25951808e0c3effbd202b360de4391a1cf4c0515e`

Algorithm	Hash digest
SHA256	`688401f887db92e0d5ead9690537095f84bde975251ad6f0632eb4284aa315c7`
MD5	`153ba971698eb44e79543c5812a58ff7`
BLAKE2b-256	`23ae2455fed73cb50e7d4149d5ed46bef88a1670a2efd28bc79020c313d3c3ce`

Algorithm	Hash digest
SHA256	`5700ae1df08c972ba96c64e18aa19205dfd8496b6d031267e833507b25f6b913`
MD5	`ac8afeecafc04f89b1654d819f6803c3`
BLAKE2b-256	`b6d3137dd4a4f800fba6dc0bc3b68279b977d0c711e05a356848199eda11a61b`

Algorithm	Hash digest
SHA256	`d31ecef86906b9df92ad6ae46b73de8dd7dd926cae6c2160a7e2f2ec5dc20cec`
MD5	`325144e2b6233be7a881142f0dcccb06`
BLAKE2b-256	`a48749ba7f1ed5ea2b610504bfcd2bf1d1041af648c00fdc7f7715afd08144c4`

Algorithm	Hash digest
SHA256	`81a1b3695c908b6dd0274b3fd2ff69a1fb32cd048498c2500211ddc0ebbba32a`
MD5	`fb70e14f41f26d76d7bbf67df3e4e51b`
BLAKE2b-256	`c6850c02e63967638da44206bc4cc18a67a0f2662928cef59bbde3c2b3537131`

Algorithm	Hash digest
SHA256	`86208066961d17c1b70de29afe211a4232ec7d68c0c0f4895c117104b7766611`
MD5	`c7d9b8fe0ba906b60f6beb3e2f7dc459`
BLAKE2b-256	`6ba941f20ca73091b9f112d6422f9853e514918663ec8eb62443804e123d6c13`

Algorithm	Hash digest
SHA256	`1bed592835c25afc0712fb1da70f4f86a865ef4cd14500173787ce7b7799f112`
MD5	`c935fb6ec96b9e17ade3b00e9d2bfbd0`
BLAKE2b-256	`063e17f1e0deec1558112f4e1bf05647c4aea3790622050df388ecba605044f2`

Algorithm	Hash digest
SHA256	`3247d2db9fe69412f4ad5e1fd6bd0c0e4270fe79b70cb7c726f2504eb80ab151`
MD5	`6cf3d42d08b9c0e03520ff2b23e2e6e3`
BLAKE2b-256	`ed28be7a16ef08ea6b75266cc13f1083728b74bff116adb4b28c929769ce9692`

Algorithm	Hash digest
SHA256	`571ddbc2f41419aac96f7843f4e21de0af0b3733328dda2992556791caaa4bf3`
MD5	`a3ef4c87b525dc792163d6f83196aba4`
BLAKE2b-256	`7b1c549366793ee8bc7577aab315169d1c1571f09cae5b4bdabaf37a12a8d358`

Algorithm	Hash digest
SHA256	`0dd0e620d6e58e5388069e1a9a0cdc11eddefff94a599b210bfc34cc3127a702`
MD5	`bbb6ef40fd672cf5fe95c9188d7137b1`
BLAKE2b-256	`4a81a398391bc8ea4555ced20617b625dfe632bc6a95c9545bb314dcf7c9b662`

Algorithm	Hash digest
SHA256	`a3553dc6c1a412e821aeb3b42f47a2ebcecad2286d1bb08b502d6b0198d9d7e7`
MD5	`88c2b3fceeb879b2470bcbeebfa0438d`
BLAKE2b-256	`7ef9a4b5ee661a31a2b210ca6ebcb41b0037fe504bfa5c0dc4a5088b70285c6b`

Algorithm	Hash digest
SHA256	`cc499088a41e619b175a00142d9eb12fd3474e126bd28f0a4a634e92b70753cf`
MD5	`78221cc3ff21c28ceebba3be3db4f5cd`
BLAKE2b-256	`c582fc54526b692f3d4b2fd06ec49acdd96fea9b2ce01395c5f76e464750b0bf`

Algorithm	Hash digest
SHA256	`699904cb2750ee46fed8cc15d483d1f6c616d4b8e59b608aa707e69cffb3a4ba`
MD5	`a186681db4ca880cbb86d211d9794526`
BLAKE2b-256	`712cc978a2a0ebbdf54328a27f59d775abeffd414b45b24c96694b89169cfc55`

Algorithm	Hash digest
SHA256	`aaeb5ca86040766e5182fa5d82f04b348d0705b7148fe4cf6846d6ada939ea3d`
MD5	`0eab866ecb597006ba2195df650e5424`
BLAKE2b-256	`12e791cad2cd435bcd85240d24d5d0e3276c15db493dc4ad20005cb9c41f91cf`

Algorithm	Hash digest
SHA256	`4843e9cdd2ffac64426b2df31cb6aa430d87b7ce82120a71dbd3c4df6184e16e`
MD5	`b11270d42525c4c99ab48a2ce60fe463`
BLAKE2b-256	`d51084b5cb2a943cdd2efd85d6fd46fd1e2afc3b6bb557c6e8f07a0f1ee06880`

Algorithm	Hash digest
SHA256	`f12518c85af6900383355fce36f12e0df35c9dadea60c8ea47008688bb2dfab1`
MD5	`52baa27e38a30a6f60535eb8065180e7`
BLAKE2b-256	`d7984213e552aab6944305ae8a8145d7e6f2c4d05ec9a8753348e3e77373e5eb`

abrain 1.0rc0.post7

Navigation

Verified details

Maintainers

Unverified details

Project links

Meta

Classifiers

Project description

Artificial Brains (ABrain) for Python

tested on latest

Development

Optional dependencies:

Graphviz (dot)

Kaleido

Todo list:

Project details

Verified details

Maintainers

Unverified details

Project links

Meta

Classifiers

Release history Release notifications | RSS feed

Download files

Source Distribution

Built Distributions

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

Algorithm	Hash digest
SHA256	`be4f29d4947cf9530a47f4c30b95d2fbd14447afbed2ac3fcd63b5ef3821a30d`
MD5	`0a408e00b04bd5451b0fc6a48826f7b8`
BLAKE2b-256	`be4de6273ef7494612889b7c80d9f241ee46825b1818d6ec7b2fa9abf6f25584`

Algorithm	Hash digest
SHA256	`dab7f87c72d108dbf2de8200c25970e116f0f71d2f419a859624ee64867ff0ff`
MD5	`a4a8d9aa55aabf981defdddaeb5177b0`
BLAKE2b-256	`0f068de610adea25bbd7fd87d52738f82f1e2fde7b4dfc380d569e1e49cd4116`

Algorithm	Hash digest
SHA256	`ce73cc3822396d10854bd479ef5d8a6ec1219d2d2d158acaed3477b6e1b6f713`
MD5	`598895333218539374ab80366b287a74`
BLAKE2b-256	`d6d90e5c29b0ffad8cab5b06a995fee4733427c8a6877b08ac6e53503415fdbb`

Algorithm	Hash digest
SHA256	`eb66553cbe2cb3c00d6b84ab61014ce75008bd6584866da405c0e30397f9fffa`
MD5	`4339800b796c13528ee2543f85c9a9da`
BLAKE2b-256	`ed8691f7523eaeb2d968edc7d34015dc71d59fe13d1cbcbc0d76f2b5b0e655df`

Algorithm	Hash digest
SHA256	`4c39a045cae531516e8639a95e9a04fe70546d111056d130f41330fde60e5753`
MD5	`10da3b638ca15fcbbf8146050fd8c651`
BLAKE2b-256	`cc22eb744e278f1a1c9763d0fe5be86089a1f44bec5cdffc8c30de28420e6337`

Algorithm	Hash digest
SHA256	`76450d46ecbd97f58c5a4a8654c6c4204064fac32652a66ab1b638c84db01730`
MD5	`1fbdb56773974073f63b3c66a2b20102`
BLAKE2b-256	`5a829806671ab8763e710a16176eebe95c6d295df79f18255ca304edea66dfef`

Algorithm	Hash digest
SHA256	`e8d3a411da0fd3391bbeb2f8781afa574b51bcca1db36a725a8d82a4f7eee45c`
MD5	`2a8134be56625ed3b5c6bdeb1fce4e59`
BLAKE2b-256	`61a083f16fae9fffd471d14a764351b55fec6c931e01c46786428ae4ba83b6e7`

Algorithm	Hash digest
SHA256	`4c4559994ecd444b28717ac0de2cd5131a7bce7d26d20ca0a5935ebed02ebc51`
MD5	`7e4937c02444ced69833a87bc94fe7b6`
BLAKE2b-256	`fde7ef232173667071376f11151cea2678347959b1b74dd9fc8144465be898c2`

Algorithm	Hash digest
SHA256	`0c872eecf29d6a7c7a1236ae9923341565e5965e4140276894fca87a01c32ab6`
MD5	`821b80592e193ff6efe22424a05bac6b`
BLAKE2b-256	`18ed5b0ed2cd00f91ccea245ffa3f3547da54f6ae60461ce1c60794a49f7e7f6`

Algorithm	Hash digest
SHA256	`03d9c10225ed7d6ee68e29b75fa4cd4f034722befe5ed307439349aafe1ea7b6`
MD5	`44bd7dd2cf47b88c089af56cb45fcff2`
BLAKE2b-256	`9365d8ddac13addbcc4dbe8e58c7ec66def41474efd9069e9c3ae0d352b6b869`