Topic Modelling for Humans
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Updated
Apr 24, 2024 - Python
Topic Modelling for Humans
A fast, efficient universal vector embedding utility package.
🦆 Contextually-keyed word vectors
Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation),etc. All codes are implemented intensorflow 2.0.
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).
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.
Web-ify your word2vec: framework to serve distributional semantic models online
A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).
Using pre trained word embeddings (Fasttext, Word2Vec)
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)
Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.
📓 Long(er) text representation and classification using Doc2Vec embeddings
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