1088 Open source projects that are alternatives of or similar to Dna2vec

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

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

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

A fast, efficient universal vector embedding utility package.

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

Making sense embedding out of word embeddings using graph-based word sense induction

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

Named-Entity Recognition in Persian Language

(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset

Sentiment Analysis: Deep Bi-LSTM+attention model

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

Codenames AI using Word Vectors

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

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.

Creating word embeddings from scratch and visualize them on TensorBoard. Using trained embeddings in Keras.

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

R wrapper for fastText

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

Train Wikidata with word2vec for word embedding tasks

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

TensorFlow implementation of word2vec applied on https://www.kaggle.com/tamber/steam-video-games dataset, using both CBOW and Skip-gram.

Compass-aligned Distributional Embeddings. Align embeddings from different corpora

A library for transfer learning by reusing parts of TensorFlow models.

Fast word vectors with little memory usage in Python

Cleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.

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

An implementation of word2vec applied to [stanford philosophy encyclopedia](http://plato.stanford.edu/)

Remove problematic gender bias from word embeddings.

entity2rec generates item recommendation using property-specific knowledge graph embeddings

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

Topic Modelling for Humans

Exploring the simple sentence similarity measurements using word embeddings

A word2vec negative sampling implementation with correct CBOW update.

One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques

Compact high quality word embeddings for Russian language

Arabic Word Embeddings Word2vec

Benchmarks for intrinsic word embeddings evaluation.

A curated list of awesome embedding models tutorials, projects and communities.

Reference implementations of popular DL models missing from keras-applications & keras-contrib

A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

100+ Chinese Word Vectors 上百种预训练中文词向量

FastText for Node.js

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

Persian sentiment analysis ( آناکاوی سهش های فارسی | تحلیل احساسات فارسی )

Read and use word2vec vectors in Go

Load embeddings and featurize your sentences.

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

Vector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2vec, bert, inception, etc)

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

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

Python Framework for Extractive Text Summarization

A word2vec port for Windows.

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

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

Word Embeddings for Information Retrieval

Beautiful visualizations of how language differs among document types.

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

finalfusion embeddings in Rust

Russian mass media stemmed texts corpus / Корпус лемматизированных (морфологически нормализованных) текстов российских СМИ

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.