Topic Modelling for Humans
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Updated
Feb 14, 2025 - Python
Topic Modelling for Humans
🦆 Contextually-keyed word vectors
A fast, efficient universal vector embedding utility package.
Data repository for pretrained NLP models and NLP corpora.
ADAM - A Question Answering System. Inspired from IBM Watson
The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
This repository contains an easy and intuitive approach to few-shot NER using most similar expansion over spaCy embeddings. Now with entity scoring.
A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
Web-ify your word2vec: framework to serve distributional semantic models online
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.
A simple Python3 tool to detect similarities between files within a repository
The reference implementation of "Multi-scale Attributed Node Embedding". (Journal of Complex Networks 2021)
A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).
Using pre trained word embeddings (Fasttext, Word2Vec)
Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.
📓 Long(er) text representation and classification using Doc2Vec embeddings
A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
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