word-embeddings
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A very simple framework for state-of-the-art Natural Language Processing (NLP)
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Aug 20, 2020 - Python
100+ Chinese Word Vectors 上百种预训练中文词向量
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Mar 8, 2020 - Python
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
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Aug 18, 2020 - Jupyter Notebook
A curated list of pretrained sentence and word embedding models
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Aug 4, 2020 - Python
Beautiful visualizations of how language differs among document types.
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Jul 19, 2020 - Python
A fast, efficient universal vector embedding utility package.
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Jul 17, 2020 - Python
Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
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Mar 25, 2020 - CSS
Fast vectorization, topic modeling, distances and GloVe word embeddings in R.
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Apr 18, 2020 - R
Natural Language Toolkit for Indic Languages aims to provide out of the box support for various NLP tasks that an application developer might need
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Aug 7, 2020 - Python
A Modern C++ Data Sciences Toolkit
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Mar 9, 2020 - C++
A collection of notebooks for Natural Language Processing from NLP Town
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Nov 1, 2019 - Jupyter Notebook
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Nov 13, 2019 - Python
Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP
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Mar 11, 2020 - Jupyter Notebook
Word Embeddings (e.g. Word2Vec) in Go!
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Jun 6, 2020 - Go
Simple downloader for pre-trained word vectors
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Mar 27, 2019 - Python
Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs
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Apr 21, 2020 - Python
BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences
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Feb 26, 2020 - Jupyter Notebook
Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow
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Apr 17, 2020 - Jupyter Notebook
Spanish word embeddings computed with different methods and from different corpora
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Oct 9, 2019
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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Aug 8, 2017 - Python
Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets
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Jan 29, 2020 - Jupyter Notebook
ACL 2019: Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks
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Jun 16, 2020 - Python
Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".
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Jun 8, 2018 - Python
Java interface for fastText
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Feb 24, 2020 - Java
Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
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Jul 6, 2020 - Python
Word Embeddings for Information Retrieval
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May 9, 2020 - Python
Improving topic models LDA and DMM (one-topic-per-document model for short texts) with word embeddings (TACL 2015)
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May 8, 2017 - Java
Code for Mimicking Word Embeddings using Subword RNNs (EMNLP 2017)
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Nov 15, 2019 - Python
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The usage example in the word2vec.py doc-comment regarding
KeyedVectorsuses inconsistent paths and thus doesn't work.https://github.com/RaRe-Technologies/gensim/blob/e859c11f6f57bf3c883a718a9ab7067ac0c2d4cf/gensim/models/word2vec.py#L73
https://github.com/RaRe-Technologies/gensim/blob/e859c11f6f57bf3c883a718a9ab7067ac0c2d4cf/gensim/models/word2vec.py#L76
If vectors were saved to a tm