embeddings topic

Data augmentation for NLP, presented at EMNLP 2019

jasonwei20

中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（gra...

yongzhuo

A fast, efficient universal vector embedding utility package.

plasticityai

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

cbaziotis

scikit-fusion: Data fusion via collective latent factor models

mims-harvard

PyTorch library for transforming entities like companies, products, etc. into vectors to support scalable Record Linkage / Entity Resolution using Approximate Nearest Neighbors.

vintasoftware

Curated list of 2vec-type embedding models

MaxwellRebo

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)

RelevanceAI

Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.

vector-ai

Fast word vectors with little memory usage in Python

ThoughtRiver