284 Open source projects that are alternatives of or similar to Wego

Exploring the simple sentence similarity measurements using word embeddings

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.

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

A fast, efficient universal vector embedding utility package.

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

Sarcasm Detection for Sentiment Analysis

Codenames AI using Word Vectors

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

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

Python Framework for Extractive Text Summarization

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

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

Arabic Word Embeddings Word2vec

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

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

Service Classification based on Service Description

finalfusion embeddings in Rust

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

Fast word vectors with little memory usage in Python

Using pre trained word embeddings (Fasttext, Word2Vec)

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

Topic Modelling for Humans

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

Remove problematic gender bias from word embeddings.

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

A word2vec negative sampling implementation with correct CBOW update.

Train Wikidata with word2vec for word embedding tasks

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

Benchmarks for intrinsic word embeddings evaluation.

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

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

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

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

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.

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

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

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

A word2vec port for Windows.

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

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

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

Beautiful visualizations of how language differs among document types.

FastText for Node.js

Implementation of Hierarchical Attention Networks in PyTorch

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

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。

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

Compact high quality word embeddings for Russian language

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

Read and use word2vec vectors in Go

Source code for the paper A Memory-Augmented Neural Model for Automated Grading

Text processing library for sentiment analysis and related tasks

LanguageCrunch NLP server docker image

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

An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".

Compass-aligned Distributional Embeddings. Align embeddings from different corpora

Watchman: An open-source social-media event-detection system

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

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

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