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Top 149 embeddings open source projects

Whatlies
Toolkit to help understand "what lies" in word embeddings. Also benchmarking!
Catalyst
🚀 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.
Cw2vec
cw2vec: Learning Chinese Word Embeddings with Stroke n-gram Information
Deepehr
Chronic Disease Prediction Using Medical Notes
Kprn
Reasoning Over Knowledge Graph Paths for Recommendation
Magnetloss Pytorch
PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.
Cause
Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.
Sensegram
Making sense embedding out of word embeddings using graph-based word sense induction
Vectorai
Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.
Research2vec
Representing research papers as vectors / latent representations.
Parallax
Tool for interactive embeddings visualization
Datastories Semeval2017 Task4
Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".
Jodie
A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"
Cx db8
a contextual, biasable, word-or-sentence-or-paragraph extractive summarizer powered by the latest in text embeddings (Bert, Universal Sentence Encoder, Flair)
Cofactor
CoFactor: Regularizing Matrix Factorization with Item Co-occurrence
Entity2rec
entity2rec generates item recommendation using property-specific knowledge graph embeddings
Embedding As Service
One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques
Elastiknn
Elasticsearch plugin for nearest neighbor search. Store vectors and run similarity search using exact and approximate algorithms.
Keras Vgg16 Places365
Keras code and weights files for the VGG16-places365 and VGG16-hybrid1365 CNNs for scene classification
Graph2gauss
Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".
Chars2vec
Character-based word embeddings model based on RNN for handling real world texts
Hash Embeddings
PyTorch implementation of Hash Embeddings (NIPS 2017). Submission to the NIPS Implementation Challenge.
Laserembeddings
LASER multilingual sentence embeddings as a pip package
Dna2vec
dna2vec: Consistent vector representations of variable-length k-mers
Awesome Embedding Models
A curated list of awesome embedding models tutorials, projects and communities.
Diff2vec
Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.
Scikit Fusion
scikit-fusion: Data fusion via collective latent factor models
Hdc.caffe
Complete Code for "Hard-Aware-Deeply-Cascaded-Embedding"
Verse
Reference implementation of the paper VERSE: Versatile Graph Embeddings from Similarity Measures
Dict2vec
Dict2vec is a framework to learn word embeddings using lexical dictionaries.
Cesi
WWW 2018: CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information
Stock Rnn
Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
Skip Thought Tf
An implementation of skip-thought vectors in Tensorflow
Dutchembeddings
Repository for the word embeddings experiments described in "Evaluating Unsupervised Dutch Word Embeddings as a Linguistic Resource", presented at LREC 2016.
Graph 2d cnn
Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')
Entity embeddings categorical
Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)
Deeplearning Nlp Models
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.
Finalfrontier
Context-sensitive word embeddings with subwords. In Rust.
Ml Surveys
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
Pytorch Continuous Bag Of Words
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.
Embeddingsviz
Visualize word embeddings of a vocabulary in TensorBoard, including the neighbors
Philo2vec
An implementation of word2vec applied to [stanford philosophy encyclopedia](http://plato.stanford.edu/)
Dogembeddings
Rare pupper image compression model for word-embedding-esque operations.
Keras Textclassification
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
Bpemb
Pre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE)
Deep Mihash
Code for papers "Hashing with Mutual Information" (TPAMI 2019) and "Hashing with Binary Matrix Pursuit" (ECCV 2018)
Roleo
Web based semantic visualization tool
Tensorflow Triplet Loss
Implementation of triplet loss in TensorFlow
Orange3 Imageanalytics
🍊 🎑 Orange3 add-on for dealing with image related tasks
Eda nlp
Data augmentation for NLP, presented at EMNLP 2019
Natasha
Solves basic Russian NLP tasks, API for lower level Natasha projects
1-60 of 149 embeddings projects