Python interface to Google word2vec

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

📄 A PyTorch implementation of Paragraph Vectors (doc2vec).

Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow

word2vec++ is a Distributed Representations of Words (word2vec) library and tools implementation, written in C++11 from the scratch

利用Doc2Vec计算文本相似度

📓 Long(er) text representation and classification using Doc2Vec embeddings

Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).

document embedding and machine learning script for beginners

Text Summarization for Research Papers

Using machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity

A library for advanced Natural Language Processing towards multi-modal educational items.

EVE bot, a customer service chatbot to enhance virtual engagement for Twitter Apple Support

Distributed Representations of Sentences and Documents

Graph Embedding via Frequent Subgraphs

Association Rule Mining from Spatial Data for Crime Analysis

Embedding模型代码和学习笔记总结

doc2vec , word2vec, implemented by golang. word embedding representation

Assessing Source Code Semantic Similarity with Unsupervised Learning

Machine learning prediction of movies genres using Gensim's Doc2Vec and PyMongo - (Python, MongoDB)