Metadata-Version: 2.1
Name: chonker
Version: 0.1.2
Summary: A utility package for NLP and Machine Learning
Home-page: https://github.com/cmdowney88/chonker
Author: C.M. Downey
Author-email: cmdowney@uw.edu
License: UNKNOWN
Description: <p align="center"><img src="logo.png" alt="Chonker Logo" width="225" height="200"></p>
        
        # Chonker: Data Utilities for NLP and Machine Learning
        
        Welcome to Chonker! This code was assembled to provide a library to make data-intensive tasks just a little easier. Right now, Chonker is quite small: made up of one key module (wrangle) with one more currently in development (chonktorch). As a full-time student/researcher, 100% of this code develops from use in my ongoing projects. Chonker provides a neat package for myself and others who want to reuse convenient data functions instead of rebuilding them every time. If you somehow happen upon this library, I hope that something in here may be of use to you too!
        
        ## Modules
        ### chonker.wrangle
        A module containing classes and functions designed to streamline data pre- and post-processing (i.e. wrangling)
        ### chonker.chonktorch (forthcoming)
        A module for pre-built neural models for NLP, based off of my research and built on PyTorch
        
        ## License
        Chonker is a work-in-progress with few guarantees. However, it is also open source and free to be modified and distributed, as long as those modifications remain free. As such, Chonker is licensed by the <a href=https://www.mozilla.org/en-US/MPL/2.0/FAQ>Mozilla Public License 2.0</a>.
        
        ## Contact
        C.M. Downey
        
        *cmdowney@uw.edu*
        
        PhD Student
        
        Department of Linguistics
        
        University of Washington
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: Mozilla Public License 2.0 (MPL 2.0)
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
