515 Open source projects that are alternatives of or similar to navec

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

Dice.com repo to accompany the dice.com 'Vectors in Search' talk by Simon Hughes, from the Activate 2018 search conference, and the 'Searching with Vectors' talk from Haystack 2019 (US). Builds upon my conceptual search and semantic search work from 2015

Fast word vectors with little memory usage in Python

finalfusion embeddings in Rust

A fast, efficient universal vector embedding utility package.

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

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

reference pytorch code for named entity tagging

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

Load embeddings and featurize your sentences.

Read and use word2vec vectors in Go

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

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

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

Implementation of Hierarchical Attention Networks in PyTorch

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

(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

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

Compass-aligned Distributional Embeddings. Align embeddings from different corpora

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)

Service Classification based on Service Description

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

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

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.

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.

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

TextClf ：基于Pytorch/Sklearn的文本分类框架，包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型，通过简单配置即可完成数据处理、模型训练、测试等过程。

Four word embedding models implemented in Python. Supporting arbitrary context features

Sarcasm Detection for Sentiment Analysis

entity2rec generates item recommendation using property-specific knowledge graph embeddings

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

Using pre trained word embeddings (Fasttext, Word2Vec)

Programming Assignments and Lectures for Stanford's CS 224: Natural Language Processing with Deep Learning

Exploring the simple sentence similarity measurements using word embeddings

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

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

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

Solves basic Russian NLP tasks, API for lower level Natasha projects

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

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

Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"

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

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

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

Information Retrieval in High Dimensional Data (class deliverables)

Arabic Word Embeddings Word2vec

A fast Text-to-Speech (TTS) model. Work well for English, Mandarin/Chinese, Japanese, Korean, Russian and Tibetan (so far). 快速语音合成模型，适用于英语、普通话/中文、日语、韩语、俄语和藏语（当前已测试）。

A Python Wrapper of Pngquant

libmorph rus/ukr - fast & accurate morphological analyzer/analyses for Russian and Ukrainian

Simple nlp chatbot

nlp lecture-notes and source code

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

This repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).

Benchmarks for intrinsic word embeddings evaluation.

Neural bag of words code search implementation using PyTorch and data from the CodeSearchNet project.

Recognize date and time in russian text and return datetime.datetime.

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

Типографічні розкладки для української та російської мови / Типографские раскладки для украинского и русского языка

TextAugment: Text Augmentation Library

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