309 Open source projects that are alternatives of or similar to Entity_Embedding

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

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

Chronic Disease Prediction Using Medical Notes

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

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

Sentiment Analysis: Deep Bi-LSTM+attention model

Intelligent Word Embeddings of Free-Text Radiology Reports

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

A python package to run contextualized topic modeling. CTMs combine BERT with topic models to get coherent topics. Also supports multilingual tasks. Cross-lingual Zero-shot model published at EACL 2021.

Representing research papers as vectors / latent representations.

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

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

🍔

A marketing tool that helps you to market your products using organic marketing. This tool can potentially save you 1000s of dollars every year. The tool predicts the reach of your posts on social media and also suggests you hashtags for captions in such a way that it increases your reach.

Word Embeddings for Information Retrieval

中文预训练模型生成字向量学习，测试BERT，ELMO的中文效果

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

Project 4 for Metis bootcamp. Objective was generation of character-level RNN trained on Donald Trump's statements using Keras. Also generated Markov chains, and quick pyTorch RNN as baseline. Attempted semi-supervised GAN, but was unable to test in time.

Basic Utilities for PyTorch Natural Language Processing (NLP)

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

Using efficientnet to provide embeddings for retrieval

graph embeddings for neo4j in python

paribhasha.herokuapp.com/

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

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

Toolkit to help understand "what lies" in word embeddings. Also benchmarking!

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

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

"Zero-Training Sentence Embedding via Orthogonal Basis" paper implementation

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

A simple Flask website for all NLP tasks which includes Text Preprocessing, Keyword Extraction, Text Summarization etc. Created Date: 30 Jan 2019

Tool for interactive embeddings visualization

The Entire Transcript from the Office in Tidy Format

Userscript that changes Clickbait headlines by headlines more honest to the news it links to.

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

Political Discourse Analysis Using Pre-Trained Word Vectors.

entity2rec generates item recommendation using property-specific knowledge graph embeddings

No description or website provided.

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

Image to dense vector embedding. Clone of https://github.com/christiansafka/img2vec for Keras users

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

Topic modelling on financial news with Natural Language Processing

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

Simple library to work with pre-trained ELMo models in TensorFlow

LASER multilingual sentence embeddings as a pip package

Keras implementation for CrossNet in paper "Cross-Target Stance Classification with Self-Attention Networks"

🚀 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.

A sophisticated smart symptom search engine

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

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

*SEM 2018: Learning Distributed Event Representations with a Multi-Task Approach

📖 A curated list of resources dedicated to Natural Language Processing (NLP) in the Yoruba Language.

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

All my experiments with AI and ML

A fast, efficient universal vector embedding utility package.

scikit-fusion: Data fusion via collective latent factor models

R wrapper for fastText

Probabilistic Dialogue Act Classification for the Switchboard Corpus using an LSTM model

Reasoning Over Knowledge Graph Paths for Recommendation

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