104 Open source projects that are alternatives of or similar to Wordnetembeddings

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

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A word2vec negative sampling implementation with correct CBOW update.

ACL 2019: Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks

Generating multiple choice questions from text using Machine Learning.

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

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.

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Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

Text preprocessing, representation and visualization from zero to hero.

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PyTorch implementation of Hash Embeddings (NIPS 2017). Submission to the NIPS Implementation Challenge.

Beautiful visualizations of how language differs among document types.

dna2vec: Consistent vector representations of variable-length k-mers

A very simple framework for state-of-the-art Natural Language Processing (NLP)

DaNLP is a repository for Natural Language Processing resources for the Danish Language.

Kadot, the unsupervised natural language processing library.

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A fast, efficient universal vector embedding utility package.

R wrapper for fastText

Python Framework for Extractive Text Summarization

utils to use word embedding like word2vec vectors in a postgres database

Dict2vec is a framework to learn word embeddings using lexical dictionaries.

Taking a pretrained GloVe model, and using it as a TensorFlow embedding weight layer **inside the GPU**. Therefore, you only need to send the index of the words through the GPU data transfer bus, reducing data transfer overhead.

100+ Chinese Word Vectors 上百种预训练中文词向量

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Arabic support for textblob

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

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🔤 Calculate average word embeddings (word2vec) from documents for transfer learning

A word2vec port for Windows.

Visualize word embeddings of a vocabulary in TensorBoard, including the neighbors

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

Top2Vec learns jointly embedded topic, document and word vectors.