162 Open source projects that are alternatives of or similar to compress-fasttext

An evaluation of word-embeddings for classification

Augmenting word embeddings with their surrounding context using bidirectional RNN

Generating multiple choice questions from text using Machine Learning.

Danish Semantic analysis

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

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

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

[KDD 2020] Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding

Obtaining word embeddings from a WordNet ontology

Serve your fastText models for text classification and word vectors

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

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

Natural Language Toolkit for Indic Languages aims to provide out of the box support for various NLP tasks that an application developer might need

🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/

A collection of notebooks for Natural Language Processing from NLP Town

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

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

SImple SenTence EmbeddeR

Remove problematic gender bias from word embeddings.

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

A data set and model for german sentiment classification.

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

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

A two-stream convolutional neural network for learning abitrary similarity functions over two sets of training data

all kinds of baseline models for long text classificaiton( text categorization)

Code for SPINE - Sparse Interpretable Neural Embeddings. Jhamtani H.*, Pruthi D.*, Subramanian A.*, Berg-Kirkpatrick T., Hovy E. AAAI 2018

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

Yelp round-10 review comments classification using deep learning (LSTM and CNN) and natural language processing.

fastText model serving service

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

JavaScript implementation of the FastText prediction algorithm

Yet another Python binding for fastText

cw2vec: Learning Chinese Word Embeddings with Stroke n-gram Information

Context Encoders (ConEc) as a simple but powerful extension of the word2vec model for learning word embeddings

Text to abstract art generation for the holidays!

Text Similarity Applied to resume, to compare Resumes with Job Descriptions and create a score to rank them. Similar to an ATS.

Code implementation for our ICPR, 2020 paper titled "Improving Word Recognition using Multiple Hypotheses and Deep Embeddings"

Serverless hashtag recommendations using fastText and Python with AWS Lambda

Sentiment analysis of tweets in Russian using Convolutional Neural Networks (CNN) with Word2Vec embeddings.

Beautiful visualizations of how language differs among document types.

Train Wikidata with word2vec for word embedding tasks

NLP tutorial

Public release of data and code for materials synthesis generation

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

Google News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.

Benchmarks for intrinsic word embeddings evaluation.

The code of our paper "SIFRank: A New Baseline for Unsupervised Keyphrase Extraction Based on Pre-trained Language Model"

Kadot, the unsupervised natural language processing library.

A little game powered by word vectors

A set of tools for leveraging pre-trained embeddings, active learning and model explainability for effecient document classification

Sentence Classifications with Neural Networks

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

🕷️ The pipeline for the OSCAR corpus

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

Python Framework for Extractive Text Summarization

Code for EMNLP 2016 paper: Morphological Priors for Probabilistic Word Embeddings

pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference

Contextual LSTM for NLP tasks like word prediction and word embedding creation for Deep Learning

Code for the paper: Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors, ICLR 2019.

Spanish word embeddings computed with different methods and from different corpora