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

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  • License: GNU General Public License (GPL)
  • Author: Joris Roels
  • Requires: Python >=3.6
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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
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Avatar for jbroels from gravatar.com jbroels

Unverified details

These details have not been verified by PyPI
Project links
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  • 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

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

This version

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

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1.1.4.7

1.1.4.6

1.1.4.5

1.1.4.4

1.1.4.3

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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

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1.0.1

1.0.0

0.9.9

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0.9.2

0.9.1

0.9

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0.4

0.3

0.2

0.1

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