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
Report project as malware

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

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

This version

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-1.1.7.9.tar.gz (41.7 kB view details)

Uploaded Source

Built Distribution

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

neuralnets-1.1.7.9-py3-none-any.whl (65.7 kB view details)

Uploaded Python 3

File details

Details for the file neuralnets-1.1.7.9.tar.gz.

File metadata

  • Download URL: neuralnets-1.1.7.9.tar.gz
  • Upload date:
  • Size: 41.7 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-1.1.7.9.tar.gz
Algorithm Hash digest
SHA256 f447dc9f17234c61624fbc63e15a00c3a796b3ab8ce8b7a05facbc83303ec5d8
MD5 61b57684b158dec5d4cc24f432a3d34b
BLAKE2b-256 87624080f442447cdb0a0b11796f9eeb9b1abb9ff0b36e578c92052b7dc3b0ed

See more details on using hashes here.

File details

Details for the file neuralnets-1.1.7.9-py3-none-any.whl.

File metadata

  • Download URL: neuralnets-1.1.7.9-py3-none-any.whl
  • Upload date:
  • Size: 65.7 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-1.1.7.9-py3-none-any.whl
Algorithm Hash digest
SHA256 76a874702b07d49ce6579ffd8e10cfc049e6b5332a75c024a7fe1b850e274f69
MD5 1aee1d7f04e8f53b881fb548eb7ed899
BLAKE2b-256 38325b09e5c38137ba1cb9c57033fa1fcd243e8d61e184baf9348b80c18d600d

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