👩‍🏫 Advanced NLP with spaCy: A free online course

Basic Utilities for PyTorch Natural Language Processing (NLP)

👑 spaCy building blocks and visualizers for Streamlit apps

Simple downloader for pre-trained word vectors

Yet another Python binding for fastText

Rates the quality of a candidate based on his/her resume using unsupervised approaches

Code for the paper: Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors, ICLR 2019.

semantic-sh is a SimHash implementation to detect and group similar texts by taking power of word vectors and transformer-based language models (BERT).

Short Text Similarity as described in https://dl.acm.org/citation.cfm?id=2806475

Retraining embedding models to incorporate emotional constraints.

A chatbot developed to help FIB students. It uses NLP + Machine learning techniques such as sentence classification, or entity recognition (NER), along with a Deep Learning dialogue management model.

State-of-the-art count-based word embeddings for low-resource languages with a special focus on historical languages.

The Word Embedding Database API

This library provides functionality for rapidly sharing and retrieving word embeddings over the internet. (EMNLP 2017).

[OUTDATED] A set of classes/scripts for NLP tasks focused on finance data

A package for reading/writing files containing pre-trained word embeddings and building "embedding matrices".

Python interface for building, loading, and using GloVe vectors.

spaCy-compatible tokenizers and word vectors for medical text

Personality plays a vital role in todays world.This uses the Twitter REST API to mine tweets for personality identification. We will use n-grams and word vectors for the hashtags, emoticons and phrases using NLP techniques. We will train the machine to classify the personality types by using a Naive- Bayes Text Classifier and to accurately predi…

Implemented some of the models and techniques learned in NLP to help build systems that help in daily life.