100+ Chinese Word Vectors 上百种预训练中文词向量

A curated list of pretrained sentence and word embedding models

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

A fast, efficient universal vector embedding utility package.

Beautiful visualizations of how language differs among document types.

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

🔡 Token level embeddings from BERT model on mxnet and gluonnlp

Simple downloader for pre-trained word vectors

Word2Vec, GloVe, and Lexvec in Go!

A collection of notebooks for Natural Language Processing from NLP Town

Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs

A collection of supervised learning models based on shallow neural network approaches (e.g., word2vec and fastText) with some additional exclusive features. Written in Python and fully compatible with Scikit-learn.

Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets

Java interface for fastText

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

Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow

BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences

Spanish word embeddings computed with different methods and from different corpora

Code for Mimicking Word Embeddings using Subword RNNs (EMNLP 2017)

Improving topic models LDA and DMM (one-topic-per-document model for short texts) with word embeddings (TACL 2015)

Word Embeddings for Information Retrieval

Remove problematic gender bias from word embeddings.

A short tutorial on Elmo training (Pre trained, Training on new data, Incremental training)

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

Kadot, the unsupervised natural language processing library.

R wrapper for fastText