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
Pytorch implementation of Word2Vec with support with initializing the embedding matrices from a pre-trained model
A python package for word2vec
MigrationInTheTimes: Visualising changes in the construction of meaning with Word Vector Space
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…
Skip-Gram Model From Scratch
Word embedding and Sentiment analysis using 2 layer Neural Network
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.
Bengali word embedding using BengaliWord2Vec from BNLP. A mini project under the mentorship of Prof. Sandipan Ganguly, HIT-K.
Word2vec implementation in Python from scratch using Skip-gram model .... " learning word embeddings representation "
sample scripts that show use of NLP in python.Some will be proof of concepts while others will be tutorials
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