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
- RNN_MTO_Classifier:
Text scoring RNN based on Many-to-One architecture.
Example applications include sentiment analysis, review scoring - 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
- keras-contrib installation (please refer to git repo @ https://github.com/keras-team/keras-contrib)
- 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
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