265 Open Source Embeddings Software Projects

100+ Chinese Word Vectors 上百种预训练中文词向量

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

Basic Utilities for PyTorch Natural Language Processing (NLP)

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

A fast, efficient universal vector embedding utility package.

Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.

Implementation of triplet loss in TensorFlow

Pre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE)

Data augmentation for NLP, presented at EMNLP 2019

Curated list of 2vec-type embedding models

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（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

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

Library for faster pinned CPU <-> GPU transfer in Pytorch

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

A tool for learning vector representations of words and entities from Wikipedia

Named Entity Recognition using multilayered bidirectional LSTM

Implementation of the node2vec algorithm.

Nimfa: Nonnegative matrix factorization in Python

Curated List of Persian Natural Language Processing and Information Retrieval Tools and Resources

Fast word vectors with little memory usage in Python

Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.

Compute Sentence Embeddings Fast!

Natural Language Processing Pipeline - Sentence Splitting, Tokenization, Lemmatization, Part-of-speech Tagging and Dependency Parsing

Graph convolutional neural network for multirelational link prediction

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

PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.

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

Reasoning Over Knowledge Graph Paths for Recommendation

Chronic Disease Prediction Using Medical Notes

:hamburger:

Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.

Representing research papers as vectors / latent representations.

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

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

Recommender Systems Paperlist that I am interested in

Word Embeddings for Information Retrieval

Tool for interactive embeddings visualization

🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021.

entity2rec generates item recommendation using property-specific knowledge graph embeddings

a contextual, biasable, word-or-sentence-or-paragraph extractive summarizer powered by the latest in text embeddings (Bert, Universal Sentence Encoder, Flair)

A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"

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

Keras code and weights files for the VGG16-places365 and VGG16-hybrid1365 CNNs for scene classification

Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".

Character-based word embeddings model based on RNN for handling real world texts

PyTorch implementation of Hash Embeddings (NIPS 2017). Submission to the NIPS Implementation Challenge.

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

Neural Code Comprehension: A Learnable Representation of Code Semantics

R wrapper for fastText

Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.

All my experiments with AI and ML

Complete Code for "Hard-Aware-Deeply-Cascaded-Embedding"

A sophisticated smart symptom search engine

scikit-fusion: Data fusion via collective latent factor models

R package to Embed All the Things! using StarSpace

Reference implementation of the paper VERSE: Versatile Graph Embeddings from Similarity Measures

LASER multilingual sentence embeddings as a pip package

Enso: An Open Source Library for Benchmarking Embeddings + Transfer Learning Methods

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

An implementation of skip-thought vectors in Tensorflow

Deep Learning and Machine Learning mini-projects. Current Project: Deepmind Attentive Reader (rc-data)

WWW 2018: CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information

中文预训练模型生成字向量学习，测试BERT，ELMO的中文效果

Repository for the word embeddings experiments described in "Evaluating Unsupervised Dutch Word Embeddings as a Linguistic Resource", presented at LREC 2016.

Sentiment Analysis for Arabic Text (tweets, reviews, and standard Arabic) using word2vec

Encoding position with the word embeddings.

Unofficial Implementation of Google Deepmind's paper `Objects that Sound`

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')

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

Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)

Tensorflow implementation of "Tracking the World State with Recurrent Entity Networks" [https://arxiv.org/abs/1612.03969] by Henaff, Weston, Szlam, Bordes, and LeCun.

Context-sensitive word embeddings with subwords. In Rust.

Compact high quality word embeddings for Russian language

GloVe word vector embedding experiments (similar to Word2Vec)

Evolutionary Graph Pattern Learner that learns SPARQL queries for a given set of source-target-pairs from an endpoint.

Go Bindings for BERT NLP Models

Evaluate your dialog model with 17 metrics! (see paper)

Doing things with embeddings

Keras implementation of ontology aware token embeddings

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

Tensorflow Implementation of Relation Networks for the bAbI QA Task, detailed in "A Simple Neural Network Module for Relational Reasoning," [https://arxiv.org/abs/1706.01427] by Santoro et. al.

Embed categorical variables via neural networks.

🐍 Python Implementation and Extension of RDF2Vec

Network Embedding Survey and Resources

SANSA Machine Learning Layer

The Continuous Bag-of-Words model (CBOW) is frequently used in NLP deep learning. It's a model that tries to predict words given the context of a few words before and a few words after the target word.

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

PyTorch implementation of StarSpace as described in "StarSpace: Embed All The Things!" by Ledell Wu, Adam Fisch, Sumit Chopra, Keith Adams, Antoine Bordes and Jason Weston

Pytorch implementation of Improved Deep Embedded Clustering

Read and use word2vec vectors in Go

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

Neural network transition-based dependency parser (in Rust)

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

Concatenate word and character embeddings in Keras

Named-Entity Recognition in Persian Language

Wikidata embedding

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

finalfusion embeddings in Rust