Metadata-Version: 1.1
Name: MLTSA
Version: 0.0.1
Summary: Machine Learning Transition State Analysis
Home-page: UNKNOWN
Author: Pedro Buigues
Author-email: pedrojuanbj@gmail.com
License: MIT
Description: This is a Python module to apply the MLTSA approach for relevant CV identification on Molecular Dynamics data using both Sklearn and TensorFlow modules.
        
        >examples : Contains files with the easy to call 1D/2D/MD examples to generate data or play around with it as tests for the approach.
        
        > MLTSA_sklearn : Contains the Scikit-Learn integrated functions to apply MLTSA on data.
        
        > MLTSA_tensorflow: Contains the set of functions and different models built on TensorFlow to apply MLTSA on data.
        
        Change Log
        ============
        0.0.1 (26/10/2021)
        - First Release
Keywords: MLTSA
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Education
Classifier: Operating System :: Microsoft :: Windows :: Windows 10 
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
