Skip to main content

A neuro-evolution package.

Project description

A neuro-evolution package for all. For more information, visit https://neuralfit.net/.

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

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

neuralfit-0.1.5-cp310-cp310-win_amd64.whl (1.7 MB view details)

Uploaded CPython 3.10Windows x86-64

neuralfit-0.1.5-cp310-cp310-win32.whl (1.7 MB view details)

Uploaded CPython 3.10Windows x86

neuralfit-0.1.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

neuralfit-0.1.5-cp39-cp39-win_amd64.whl (1.7 MB view details)

Uploaded CPython 3.9Windows x86-64

neuralfit-0.1.5-cp39-cp39-win32.whl (1.7 MB view details)

Uploaded CPython 3.9Windows x86

neuralfit-0.1.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

neuralfit-0.1.5-cp38-cp38-win_amd64.whl (1.7 MB view details)

Uploaded CPython 3.8Windows x86-64

neuralfit-0.1.5-cp38-cp38-win32.whl (1.7 MB view details)

Uploaded CPython 3.8Windows x86

neuralfit-0.1.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

neuralfit-0.1.5-cp37-cp37m-win_amd64.whl (1.7 MB view details)

Uploaded CPython 3.7mWindows x86-64

neuralfit-0.1.5-cp37-cp37m-win32.whl (1.7 MB view details)

Uploaded CPython 3.7mWindows x86

neuralfit-0.1.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ x86-64

File details

Details for the file neuralfit-0.1.5-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: neuralfit-0.1.5-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 1.7 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.9

File hashes

Hashes for neuralfit-0.1.5-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 79878489958e0ede31d7808830a0f9cfad79ab0f57422eeaea01eafa1ca5695f
MD5 6afa0659b5c2432fcd9444a45c00fd42
BLAKE2b-256 10d5e4b63d08df9e89a9c9b63e24139b64ac5e992b2559f704b63379a9159120

See more details on using hashes here.

File details

Details for the file neuralfit-0.1.5-cp310-cp310-win32.whl.

File metadata

  • Download URL: neuralfit-0.1.5-cp310-cp310-win32.whl
  • Upload date:
  • Size: 1.7 MB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.9

File hashes

Hashes for neuralfit-0.1.5-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 7e06fc1efa321a2cd521d1c6e9b194ce07054966e8a1247fff04a83a99e30087
MD5 0948b22cf6813b86b2ea9cc634102b54
BLAKE2b-256 67ea6d1bbdbf398980df31db7e93485d644837d042a9661e7366160e82c25504

See more details on using hashes here.

File details

Details for the file neuralfit-0.1.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for neuralfit-0.1.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ff9c2c06609d5fe5bd42655bd70758a62d7f53a08b8f55fdc3d85d110f16822f
MD5 3cf024c61a35b97ac225c1952ef4728e
BLAKE2b-256 add2de3600c931f80d2f29b92efad63caf1301203b19fcfa6ff22aabd3f85d48

See more details on using hashes here.

File details

Details for the file neuralfit-0.1.5-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: neuralfit-0.1.5-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 1.7 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.9

File hashes

Hashes for neuralfit-0.1.5-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 0ab8cade0afebac3e3abf14826764b74c4d7b7658529014c2cd2b8563892f65d
MD5 791d3f7f01d1fa4003f6fa62f69282e0
BLAKE2b-256 df78094614240a8d7b9e6b327ca82806def55a6845144e9bcb20bf28d809a717

See more details on using hashes here.

File details

Details for the file neuralfit-0.1.5-cp39-cp39-win32.whl.

File metadata

  • Download URL: neuralfit-0.1.5-cp39-cp39-win32.whl
  • Upload date:
  • Size: 1.7 MB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.9

File hashes

Hashes for neuralfit-0.1.5-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 130daf3134a1c89c5fa8cca71d33f22341250f37a499b621bd8876f5c144cf57
MD5 48bc825a3a6f3755f01a3909bf6812d3
BLAKE2b-256 397acb61a750e4d14b57d27045130faa621706dc4cc2e6afa430ac394897f8c9

See more details on using hashes here.

File details

Details for the file neuralfit-0.1.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for neuralfit-0.1.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 473d9f8bca36a9a47a7c5bb4f8b41f893694f14b72ca5b0343cf239de89bfa26
MD5 ad5891f6941df38c4d385da6db08f9c3
BLAKE2b-256 d8e7c79c9ca90da17f62e11caef7bdcc0b0517faa3f4157c091f5c119e766dfe

See more details on using hashes here.

File details

Details for the file neuralfit-0.1.5-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: neuralfit-0.1.5-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 1.7 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.9

File hashes

Hashes for neuralfit-0.1.5-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 77360e48f687b7b394310eeb641463c96a6016bae39aadedeac899ed99f1ebb7
MD5 685e915c84bc06942a7a68546d424d01
BLAKE2b-256 46c147767c4633eaa5861cd293a0f5902d4487f89018c25231164d931855267a

See more details on using hashes here.

File details

Details for the file neuralfit-0.1.5-cp38-cp38-win32.whl.

File metadata

  • Download URL: neuralfit-0.1.5-cp38-cp38-win32.whl
  • Upload date:
  • Size: 1.7 MB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.9

File hashes

Hashes for neuralfit-0.1.5-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 18771f201f7436372e53bf75508bbc1da323641049248e47fa58490743254380
MD5 d371df00cfb32df0d94ee81a8e1da5d2
BLAKE2b-256 4b191fcf49c5e5e8427647e99acba4cc246369390e5da8fa08db048612402c05

See more details on using hashes here.

File details

Details for the file neuralfit-0.1.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for neuralfit-0.1.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e4f0b431e5b1f5112e86a537b72866969db0ac2564f0b675286cdbcbf300f221
MD5 4ab99b9022b3f1bf53f98a91666d624f
BLAKE2b-256 cfb4b64bce89515928db588a2112a5f8746dd0b8e61dc967d0d5d62695eef54b

See more details on using hashes here.

File details

Details for the file neuralfit-0.1.5-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: neuralfit-0.1.5-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 1.7 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.9

File hashes

Hashes for neuralfit-0.1.5-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 7e1341001696b9dd7713cfd8bc44e03c28993259edefc3efcbb5ce42c82446f9
MD5 36fbf127e5a0e166056753f94b893693
BLAKE2b-256 ded15254cc86c9ee6fb0abc4cb8bfc51a6bb3869b44dfd3edf733de8da2fa8a0

See more details on using hashes here.

File details

Details for the file neuralfit-0.1.5-cp37-cp37m-win32.whl.

File metadata

  • Download URL: neuralfit-0.1.5-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 1.7 MB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.9

File hashes

Hashes for neuralfit-0.1.5-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 9bfbfcdcc334369f3cace2d2899e74f19269f9f4fdbe215291e437d82404078c
MD5 c9829a5a300fe6d2c305e913f5bb604d
BLAKE2b-256 98d42f358413937bd09452146ceb43eaa90d4a7a06d2ad9d84d26376f77c6e2d

See more details on using hashes here.

File details

Details for the file neuralfit-0.1.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for neuralfit-0.1.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e363f9b14ee5bbdcce85cc6427ed2a4c54b3fe60cd5797b947c331f818e69b6e
MD5 b4ffb8e85423316dc090c45754e14d4c
BLAKE2b-256 5cf4ec1d37f699141d9896b0206a7cc69b3a329849bbc81572138252b1da9a1d

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page