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a-smattering-of-nlp-in-python

A very brief introduction to Natural Language Processing programming in Python

bert-han

Hierarchical-Attention-Network

bert-toxic-comments-multilabel

Multilabel classification for Toxic comments challenge using Bert

fast-bert

Super easy library for BERT based NLP models

feature-importance

fma

FMA: A Dataset For Music Analysis

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hedge

Code for the paper "Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection"

hello-world

:)

htrc-bookworm-widgets

interpret-text

A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.

interpret_bert

Interpreting Bidirectional Encoder Representations from Transformers (BERT)

kaggledisastertweets

Interpretability implementations for the Kaggle Disaster Tweets challenge.

kc82.github.com

keras-vis

Neural network visualization toolkit for keras

ktrain

ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

lime

Lime: Explaining the predictions of any machine learning classifier

lyrics_segmentation

lyricshan

Music Genre Classification by Lyrics using a Hierarchical Attention Network

melodia_python_tutorial

musictransformer-pytorch

implementation of music transformer with pytorch (ICLR2019)

nlp-with-python

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

onestopenglishcorpus

palmetto-py

Python interface for https://github.com/dice-group/Palmetto

pianostyleembedding

poetry-reading

poki-poems-by-kids

PoKi: A Large Dataset of Poems by Children

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

ruptures

ruptures: change point detection in Python

shap

A game theoretic approach to explain the output of any machine learning model.