274 Open source projects that are alternatives of or similar to codenames

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

Sample code for training Word2Vec and FastText using wiki corpus and their pretrained word embedding..

Benchmarks for intrinsic word embeddings evaluation.

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.

Topic Modelling for Humans

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

💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA

FastText for Node.js

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

Beautiful visualizations of how language differs among document types.

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

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

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

Train Wikidata with word2vec for word embedding tasks

Python Framework for Extractive Text Summarization

Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec from this paper https://arxiv.org/abs/1605.02019

A fast, efficient universal vector embedding utility package.

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.

Arabic Word Embeddings Word2vec

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

A word2vec port for Windows.

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

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

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

A word2vec negative sampling implementation with correct CBOW update.

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

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

SIGIR 2017: Embedding-based query expansion for weighted sequential dependence retrieval model

Remove problematic gender bias from word embeddings.

Exploring the simple sentence similarity measurements using word embeddings

A pipeline for training word embeddings using word2vec on wikipedia corpus.

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

Collection of cyber security and "AI" relevant topics

Jupyter notebooks for Chainer hands-on

Chinese Word Segmention Base on the Deep Learning and LSTM Neural Network

Visualization of semantic similarities in word embeddings.

Tensorflow2.3的文本分类项目，支持各种分类模型，支持相关tricks。

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

📉Deep learning from scratch using Go. Specializes in natural language processing

Compact high quality word embeddings for Russian language

doc2vec , word2vec, implemented by golang. word embedding representation

NLP in python Vector Space Modelling and document classification NLP

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

a Graph-based instance of DBLP

A little game powered by word vectors

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

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

Use word2vec to improve search result

Public release of data and code for materials synthesis generation

Word2Vec In Java (2013 google word2vec opensource)

A very simple, bare-bones, inefficient, implementation of skip-gram word2vec from scratch with Python

Clasificador de preguntas escrito en python 3 que fue implementado en el siguiente vídeo: https://youtu.be/qnlW1m6lPoY

NLP Predtrained Embeddings, Models and Datasets Collections(NLP_PEMDC). The collection will keep updating.

wmd4j is a Java library for calculating Word Mover's Distance (WMD)

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

Sentiment Analysis: Deep Bi-LSTM+attention model

利用wikipedia中英文的語料訓練Word2vec模型

NLP pipeline using word2vec (preprocessing/embedding/prediction/clustering)

Bu Uyghur yéziqini Pythonning gensim ambiridiki word2vec algorizimida sinap baqqan misal.

Rust interface to word2vec.