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

利用Doc2Vec计算文本相似度

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

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

document embedding and machine learning script for beginners

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

Text Summarization for Research Papers

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

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

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

Distributed Representations of Sentences and Documents

Graph Embedding via Frequent Subgraphs

Assessing Source Code Semantic Similarity with Unsupervised Learning

doc2vec , word2vec, implemented by golang. word embedding representation

Association Rule Mining from Spatial Data for Crime Analysis

Embedding模型代码和学习笔记总结

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