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Data science gear: Python API for advanced machine learning algorithms built on top of sklearn, tensorflow and keras

Project description

Data science gear (ds-gear) is a Python API for advanced machine learning algorithms built on top of sklearn, tensorflow and keras and is distributed under the Mit license.

Description

  1. RNN_MTO_Classifier:
    Text scoring RNN based on Many-to-One architecture.
    Example applications include sentiment analysis, review scoring
  2. RNN_MTM_Classifier:
    Text classification RNN based on Many-to-Many architecture.
    Example applications include Named entity recognition, machine translation

Installation

Depenencies

  • Python (> 3.6)
  • Numpy
  • Pandas
  • sklearn
  • Matplotlib
  • Pylint
  • Doxypypy
  • Nltk (==3.5)
  • keras
  • tensorflow
  • keras-contrib (need to be installed prior to this package)

User installation

  1. keras-contrib installation (please refer to git repo @ https://github.com/keras-team/keras-contrib)
  2. package installation: pip install ds-gear

Source code

You can check the latest sources with the command:
git clone https://github.com/AI-Companion/ds-gear.git

Project details


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