A library, based on PyTorch, that implements basic neural network algorithms and useful functions

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for jbroels from gravatar.com jbroels

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU General Public License (GPL)
  • Author: Joris Roels
  • Requires: Python >=3.6
Classifiers

Project description

NeuralNets

This code implements various useful utilities for training neural networks (particularly for segmentation). Make sure to check out our documentation page!

Installation

Installation is straightforward through pip:

pip install neuralnets

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for jbroels from gravatar.com jbroels

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU General Public License (GPL)
  • Author: Joris Roels
  • Requires: Python >=3.6
Classifiers

Release history Release notifications | RSS feed

This version

1.1.9.1

1.1.9.0

1.1.8.9

1.1.8.8

1.1.8.7

1.1.8.6

1.1.8.5

1.1.8.4

1.1.8.3

1.1.8.2

1.1.8.1

1.1.8.0

1.1.7.9

1.1.7.8

1.1.7.7

1.1.7.6

1.1.7.5

1.1.7.4

1.1.7.3

1.1.7.2

1.1.7.1

1.1.7.0

1.1.6.9

1.1.6.8

1.1.6.7

1.1.6.6

1.1.6.5

1.1.6.4

1.1.6.3

1.1.6.2

1.1.6.1

1.1.6.0

1.1.5.9

1.1.5.8

1.1.5.7

1.1.5.6

1.1.5.5

1.1.5.4

1.1.5.3

1.1.5.2

1.1.5.1

1.1.5.0

1.1.4.9

1.1.4.8

1.1.4.7

1.1.4.6

1.1.4.5

1.1.4.4

1.1.4.3

1.1.4.2

1.1.4.1

1.1.4.0

1.1.3.9

1.1.3.8

1.1.3.7

1.1.3.6

1.1.3.5

1.1.3.4

1.1.3.3

1.1.3.2

1.1.3.1

1.1.3.0

1.1.2.9

1.1.2.8

1.1.2.7

1.1.2.6

1.1.2.5

1.1.2.4

1.1.2.3

1.1.2.2

1.1.2.1

1.1.2.0

1.1.1.9

1.1.1.8

1.1.1.7

1.1.1.6

1.1.1.5

1.1.1.4

1.1.1.3

1.1.1.2

1.1.1.1

1.1.1.0

1.1.0.9

1.1.0.8

1.1.0.7

1.1.0.6

1.1.0.5

1.1.0.4

1.1.0.3

1.1.0.2

1.1.0.1

1.1.0.0

1.0.9.9

1.0.9.8

1.0.9.7

1.0.9.6

1.0.9.5

1.0.9.4

1.0.9.3

1.0.9.2

1.0.9.1

1.0.9.0

1.0.8.9

1.0.8.8

1.0.8.7

1.0.8.6

1.0.8.5

1.0.8.4

1.0.8.3

1.0.8.2

1.0.8.1

1.0.8.0

1.0.7.9

1.0.7.8

1.0.7.7

1.0.7.6

1.0.7.5

1.0.7.4

1.0.7.3

1.0.7.2

1.0.7.1

1.0.7.0

1.0.6.9

1.0.6.8

1.0.6.7

1.0.6.6

1.0.6.5

1.0.6.4

1.0.6.3

1.0.6.2

1.0.6.1

1.0.6.0

1.0.5.9

1.0.5.8

1.0.5.7

1.0.5.6

1.0.5.5

1.0.5.4

1.0.5.3

1.0.5.2

1.0.5.1

1.0.5

1.0.4

1.0.3

1.0.2

1.0.1

1.0.0

0.9.9

0.9.8

0.9.7

0.9.6

0.9.5

0.9.4

0.9.3

0.9.2

0.9.1

0.9

0.8

0.7

0.6

0.5

0.4

0.3

0.2

0.1

Download files

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

Source Distribution

neuralnets-1.1.9.1.tar.gz (42.8 kB view details)

Uploaded Source

Built Distribution

neuralnets-1.1.9.1-py3-none-any.whl (67.0 kB view details)

Uploaded Python 3

File details

Details for the file neuralnets-1.1.9.1.tar.gz.

File metadata

  • Download URL: neuralnets-1.1.9.1.tar.gz
  • Upload date:
  • Size: 42.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.6.0.post20200814 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.8.5

File hashes

Hashes for neuralnets-1.1.9.1.tar.gz
Algorithm Hash digest
SHA256 16a34a9531a7af0c3f5e2ded0960090653d6eacbff5e0ae808e40a6c4a00c996
MD5 862524d01d2d27a48e7afde0bbeef330
BLAKE2b-256 2eba85b7e49cf8fb85e7ca0c502953df84c4e0da1e6262ca979d03a0f92c609c

See more details on using hashes here.

File details

Details for the file neuralnets-1.1.9.1-py3-none-any.whl.

File metadata

  • Download URL: neuralnets-1.1.9.1-py3-none-any.whl
  • Upload date:
  • Size: 67.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.6.0.post20200814 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.8.5

File hashes

Hashes for neuralnets-1.1.9.1-py3-none-any.whl
Algorithm Hash digest
SHA256 6ed443db297acb88b6b111889a4741ef85fe4cf902552504ef211f98a2bb1c83
MD5 d569b2987aebcaf542e8daf7504399e2
BLAKE2b-256 d70b20d871125044478ac587a6426b0702259c9b3d21ba2d28b3423acc27d2ac

See more details on using hashes here.

Supported by

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