pyss3

Text classifier

A Python package implementing an interpretable machine learning model for text classification with visualization tools

A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI octocat)

GitHub

336 stars
21 watching
44 forks
Language: Python
last commit: over 1 year ago
Linked from 3 awesome lists

artificial-intelligencedata-miningdocument-categorizationdocument-classificationearly-classificationexplainable-artificial-intelligenceinterpretabilityinterpretable-machine-learninginterpretable-mlmachine-learningmachine-learning-algorithmsmultilabel-classificationnatural-language-processingnlpsentence-classificationss3-classifiertext-classificationtext-labelingtext-miningxai

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
xiayandi/pytorch_text_classification An implementation of convolutional neural networks for text classification using PyTorch 66
pharo-ai/naive-bayes-classifier A simple implementation of a multinomial Naive Bayes classifier for natural language processing and machine learning tasks 1
dinghanshen/swem Provides TensorFlow implementations of word-embedding-based models and associated pooling mechanisms for natural language processing tasks. 284
xverse-ai/xverse-moe-a36b Develops and publishes large multilingual language models with advanced mixing-of-experts architecture. 36
shawn1993/cnn-text-classification-pytorch An implementation of Kim's Convolutional Neural Networks for Sentence Classification in PyTorch 1,021
djcp/linnaeus A Redis-backed system for classifying documents into categories based on their content. 38
jphall663/interpretable_machine_learning_with_python Teaching software developers how to build transparent and explainable machine learning models using Python 673
mustafaturan/omnicat-bayes An implementation of the Naive Bayes algorithm as a text classification strategy in Ruby. 32
packtpublishing/machine-learning-for-streaming-data-with-python A comprehensive guide to building machine learning models for streaming data in Python 68
thomasp85/lime An R package for providing explanations of predictions made by black box classifiers. 486
johannfaouzi/pyts A Python package for time series classification and analysis 1,775
xverse-ai/xverse-moe-a4.2b Developed by XVERSE Technology Inc. as a multilingual large language model with a unique mixture-of-experts architecture and fine-tuned for various tasks such as conversation, question answering, and natural language understanding. 36
allenai/scibert A BERT model trained on scientific text for natural language processing tasks 1,529
apcode/tensorflow_fasttext An open-source implementation of a text classification system using word embeddings and TensorFlow. 302
reddavis/naive-bayes A simple implementation of a Naive Bayes classifier for text classification tasks 49