A text analysis application for performing common NLP tasks through a web dashboard interface and an API
$ git clone https://github.com/eellak/nlpbuddy.gitStarter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.
Text vectorization tool to outperform TFIDF for classification tasks
👑 spaCy building blocks and visualizers for Streamlit apps
NLP in Python with Deep Learning
This repository contains an easy and intuitive approach to few-shot classification using sentence-transformers or spaCy models, or zero-shot classification with Huggingface.
An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.
Data from GitHub · snapshot Sep 24, 2026