https://github.com/nn-analysis/nn_tuning

Neural Network Tuning Analysis Toolkit
https://github.com/nn-analysis/nn_tuning

deep-learning experimental-psychology feature-tuning neural-network neural-networks pytorch tensorflow tuning

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Neural Network Tuning Analysis Toolkit

• Host: GitHub
• URL: https://github.com/nn-analysis/nn_tuning
• Owner: nn-analysis
• Created: 2021-03-25T16:13:39.000Z (over 3 years ago)
• Default Branch: master
• Last Pushed: 2021-07-26T12:23:35.000Z (about 3 years ago)
• Last Synced: 2024-04-26T10:44:10.157Z (5 months ago)
• Topics: deep-learning, experimental-psychology, feature-tuning, neural-network, neural-networks, pytorch, tensorflow, tuning
• Language: Python
• Homepage:
• Size: 1.32 MB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
Neural Network Tuning Analysis Toolkit

====

Analyse neural networks for feature tuning.

[Documentation]

[Documentation]: https://nn-analysis.github.io/nn_tuning/nn_tuning.html

Installation

------------

    $ pip install nn_tuning

Depending on your use you might need to install several other packages.

The AlexNet network requires you to install PyTorch and PyTorch vision using:

    $ pip install torch torchvision

PredNet requires a more specific configuration. For PredNet you need to be using python version 3.6 and TensorFlow version < 2.

Features

--------

* Fitting tuning functions to recorded activations of a neural network,

* Automatic storage of large tables on disk in understandable folder structures,

* Easily [extendable] to other neural networks and stimuli.

[extendable]: https://nn-analysis.github.io/nn_tuning/nn_tuning.html#adding-new-neural-networks-to-the-code-analysis-system

The above features are explained in more detail in nn_analyis' [documentation].