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

Word2vec (word to vectors) approach for Japanese language using Gensim and Mecab.

simple Word2vec from scratch using tensorflow for understanding

Python script demonstrating the process of recovering text from embeddings, highlighting the associated privacy risks and mitigation strategies in dense retrieval systems.

Pytorch implementation of Word2Vec with support with initializing the embedding matrices from a pre-trained model

The goal of this repository is to build a comprehensive set of tools and examples that leverage recent advances in NLP algorithms, neural architectures, and distributed machine learning systems. The content is based on our past and potential future engagements with customers as well as collaboration with partners, researchers, and the open sourc…

Word2Vec Library

MigrationInTheTimes: Visualising changes in the construction of meaning with Word Vector Space

A python package for word2vec

Word2vec, gensim, python3

Skip-Gram Model From Scratch

Word embedding and Sentiment analysis using 2 layer Neural Network

Word2Vec Library

Bengali word embedding using BengaliWord2Vec from BNLP. A mini project under the mentorship of Prof. Sandipan Ganguly, HIT-K.

Word2Vec Porting On Android Using DeepLearning4j ( On Device Machine Learning )

English Corpus Text-Visualization using Word2Vec Model from Gensim. A mini project under the mentorship of Prof. Sandipan Ganguly, HIT-K.

Teaching a computer to recognize toxic comments using Google Cloud Natural Language Processing tools. Submitted for entry into the MLH event at UT-Dallas HackDFW 2019.

Word2vec implementation in Python from scratch using Skip-gram model .... " learning word embeddings representation "

Word2Vec Library

Word2Vec Library