148 Open source projects that are alternatives of or similar to Cause

Context-sensitive word embeddings with subwords. In Rust.

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

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

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

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

LASER multilingual sentence embeddings as a pip package

finalfusion embeddings in Rust

entity2rec generates item recommendation using property-specific knowledge graph embeddings

🍊 🎑 Orange3 add-on for dealing with image related tasks

R wrapper for fastText

An implementation of skip-thought vectors in Tensorflow

Named Entity Recognition using multilayered bidirectional LSTM

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

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

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

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.

A sophisticated smart symptom search engine

Rare pupper image compression model for word-embedding-esque operations.

Tool for interactive embeddings visualization

Web based semantic visualization tool

A fast, efficient universal vector embedding utility package.

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

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

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

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

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

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

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

100+ Chinese Word Vectors 上百种预训练中文词向量

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

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

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

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.

Representing research papers as vectors / latent representations.

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

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

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

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

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

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

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

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Code for papers "Hashing with Mutual Information" (TPAMI 2019) and "Hashing with Binary Matrix Pursuit" (ECCV 2018)

All my experiments with AI and ML

Implementation of triplet loss in TensorFlow

Basic Utilities for PyTorch Natural Language Processing (NLP)

Data augmentation for NLP, presented at EMNLP 2019

scikit-fusion: Data fusion via collective latent factor models

Curated list of 2vec-type embedding models

Word Embeddings for Information Retrieval

Implementation of the node2vec algorithm.

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

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

Elasticsearch plugin for nearest neighbor search. Store vectors and run similarity search using exact and approximate algorithms.

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

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

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

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

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

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