There are 25 repositories under word-embeddings topic.
Topic Modelling for Humans
A very simple framework for state-of-the-art Natural Language Processing (NLP)
100+ Chinese Word Vectors 上百种预训练中文词向量
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
Text preprocessing, representation and visualization from zero to hero.
Top2Vec learns jointly embedded topic, document and word vectors.
A curated list of pretrained sentence and word embedding models
Beautiful visualizations of how language differs among document types.
A fast, efficient universal vector embedding utility package.
Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
A collection of notebooks for Natural Language Processing from NLP Town
Fast vectorization, topic modeling, distances and GloVe word embeddings in 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
A Modern C++ Data Sciences Toolkit
BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences
🔡 Token level embeddings from BERT model on mxnet and gluonnlp
Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP
Generating multiple choice questions from text using Machine Learning.
Keyphrase or Keyword Extraction 基于预训练模型的中文关键词抽取方法（论文SIFRank: A New Baseline for Unsupervised Keyphrase Extraction Based on Pre-trained Language Model 的中文版代码）
Simple downloader for pre-trained word vectors
Spanish word embeddings computed with different methods and from different corpora
Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow
ACL 2019: Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks
A word2vec negative sampling implementation with correct CBOW update.
Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
🌸 fastText + Bloom embeddings for compact, full-coverage vectors with spaCy
Remove problematic gender bias from word embeddings.
Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets
Word Embeddings for Information Retrieval
Java interface for fastText
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.
Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".
State-of-the-art, lightweight NLP tools for Turkish language. Developed by VNGRS.
Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.