104 Open source projects that are alternatives of or similar to Spanish Word Embeddings

A word2vec port for Windows.

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

Arabic support for textblob

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

FastText for Node.js

Obtaining word embeddings from a WordNet ontology

Remove problematic gender bias from word embeddings.

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

A fast, efficient universal vector embedding utility package.

100+ Chinese Word Vectors 上百种预训练中文词向量

Programs with word vectors, RNN, NLP stuff, etc

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

Augmenting word embeddings with their surrounding context using bidirectional RNN

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

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

Beautiful visualizations of how language differs among document types.

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

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.

A collection of notebooks for Natural Language Processing from NLP Town

Kadot, the unsupervised natural language processing library.

Simple downloader for pre-trained word vectors

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

Word semantics Deep Learning with Vanilla Python, Keras, Theano, TensorFlow, PyTorch

Python Framework for Extractive Text Summarization

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.

Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.

A curated list of pretrained sentence and word embedding models

Fast Word Clustering Software

Word Embeddings for Information Retrieval

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

[NeurIPS 2019] Spherical Text Embedding

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

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

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

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

Top2Vec learns jointly embedded topic, document and word vectors.

Text preprocessing, representation and visualization from zero to hero.

An algorithm to augment syntactic hierarchy into word embeddings

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

Fast vectorization, topic modeling, distances and GloVe word embeddings in R.

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

A Modern C++ Data Sciences Toolkit

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

🔡 Token level embeddings from BERT model on mxnet and gluonnlp

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）

Word Embeddings (e.g. Word2Vec) in Go!

A Dead Simple BERT API for Python and Java (https://github.com/google-research/bert)

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

Java interface for fastText

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

R wrapper for fastText

Lbl2Vec learns jointly embedded label, document and word vectors to retrieve documents with predefined topics from an unlabeled document corpus.

Topic Modelling for Humans

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

A word2vec negative sampling implementation with correct CBOW update.

Generating multiple choice questions from text using Machine Learning.

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

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

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