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Generic PyTorch high level wrapper

Project description

How to install:

  • Add the path to the root directory of this project in PYTHONPATH environment variable.
    • Example .bashrc: export PYTHONPATH="$PYTHONPATH:/path/to/neural-wrappers/"

Structure of this project:

  • examples/
    • tutorials/
      • Basic tutorials on how to use the library
    • Some examples on how to use the library
    • TODO - more detail
  • neural_wrappers/
    • TODO - more detail
  • reader_converters/
    • Various converters from the form the dataset is offered online (usually a big archive of images and labels, textual or not) to the form that is accepted by an implemented reader (under neural_wrappers/readers), which uses the DatasetReader class API (compatible with Keras fit_generator method and NeuralNetworkPyTorch train_generator). Generally, these converters will generate one h5py file that is used in the reader.
  • test/
    • Unit tests for all the implemented modules (WIP)
    • To run tests, go in the tests directory and type 'pytest' in the console. Requires the pytest module to be installed, which can be done using pip install pytest
  • README.md - this file

Project details


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Files for neural-wrappers, version 0.4
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Filename, size neural_wrappers-0.4-py3-none-any.whl (145.5 kB) File type Wheel Python version py3 Upload date Hashes View

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