664 Open source projects that are alternatives of or similar to Wordembeddings Elmo Fasttext Word2vec

Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.

Fast word vectors with little memory usage in Python

A fast, efficient universal vector embedding utility package.

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

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

Service Classification based on Service Description

Exploring the simple sentence similarity measurements using word embeddings

finalfusion embeddings in Rust

NLP research：基于tensorflow的nlp深度学习项目，支持文本分类/句子匹配/序列标注/文本生成 四大任务

Topic Modelling for Humans

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.

FastText for Node.js

document embedding and machine learning script for beginners

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

Pre-trained Word2Vec Model for Turkish

ProtVec can be used in protein interaction predictions, structure prediction, and protein data visualization.

A text analysis application for performing common NLP tasks through a web dashboard interface and an API

Implementation of Hierarchical Attention Networks in PyTorch

A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).

Implementação e modelo gerado com o treinamento (trigram) da wikipedia em pt-br

Embedding模型代码和学习笔记总结

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

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

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

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

Implementation of State-of-the-art Text Classification Models in Pytorch

Scripts demo-ing how to train a Word2Vec model and reduce its vector space

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

A private, free, open-source search engine built on a P2P network

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

Compact high quality word embeddings for Russian language

Sarcasm Detection for Sentiment Analysis

Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

all kinds of text classification models and more with deep learning

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

10 days 10 different practical applications of Deep Learning (primarily NLP) using Tensorflow and Keras

Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).

An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)

extract relationships from standardized terms from corpus of interest with deep learning 🐟

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

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

AraVec is a pre-trained distributed word representation (word embedding) open source project which aims to provide the Arabic NLP research community with free to use and powerful word embedding models.

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

Deep neural network framework for multi-label text classification

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network

中文詞向量訓練教學

兜哥出品 <一本开源的NLP入门书籍>

All about Neural Networks!

An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).

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

訓練中文詞向量 Word2vec, Word2vec was created by a team of researchers led by Tomas Mikolov at Google.

Telegram Data Clustering contest solution by Mindful Squirrel

🦆 Contextually-keyed word vectors

The reference implementation of "Multi-scale Attributed Node Embedding".

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

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.

Code for "Effective Dimensionality Reduction for Word Embeddings".

The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).

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

Compute Sentence Embeddings Fast!