328 Open source projects that are alternatives of or similar to entity-embed

Resources for tackling record linkage / deduplication / data matching problems

Implementation of Fellegi-Sunter's canonical model of record linkage in Apache Spark, including EM algorithm to estimate parameters

🆔 A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.

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

Graph convolutional neural network for multirelational link prediction

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

Learned string similarity for entity names using optimal transport.

Welcome to Snowman App – a Data Matching Benchmark Platform.

Merge Dirty Data with Clean Reference Tables

A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data.

This repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).

Using efficientnet to provide embeddings for retrieval

Scalable identity resolution, entity resolution, data mastering and deduplication using ML

Tutorials for Machine Learning on Graphs

Code for CodeT5: a new code-aware pre-trained encoder-decoder model.

Automatic feature engineering using Generative Adversarial Networks using TensorFlow.

Knowledge Graph Embedding LDA. AAAI 2017

Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec from this paper https://arxiv.org/abs/1605.02019

Text Classification in Turkish Texts with Bert

📖Notes and remarks on Machine Learning related papers

Poincaré Embedding

Code for paper "Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery", Ren et al., CVPR'18

Learning Video Representations from Correspondence Proposals (CVPR 2019 Oral)

Neural Code Comprehension: A Learnable Representation of Code Semantics

REST API for sentence tokenization and embedding using Multilingual Universal Sentence Encoder.

A vector database for machine learning embeddings.

Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.

Source code of the paper titled *Improving Video Captioning with Temporal Composition of a Visual-Syntactic Embedding*

(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset

a contextual search engine for software packages built on import2vec embeddings (https://www.code-compass.com)

Fast block-level out-of-band BTRFS deduplication tool.

Reference implementations of popular DL models missing from keras-applications & keras-contrib

Implemented User Based and Item based Recommendation System along with state of the art Deep Learning Techniques

Network Embedding Survey and Resources

Examples of spark-lucenerdd

Text2Text: Cross-lingual natural language processing and generation toolkit

JavaScript embedder for Wolfram Cloud notebooks

Implementation of IR2Vec, published in ACM TACO

CODER: Knowledge infused cross-lingual medical term embedding for term normalization. [JBI, ACL-BioNLP 2022]

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

OpenRefine reconciliation services for VIAF, ORCID, and Open Library + framework for creating more.

[ICLR 2019] Learning Factorized Multimodal Representations

A library for secure, deduplicated, transactional, and verifiable data storage

Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"

A Julia wrapper for Fast Library for Approximate Nearest Neighbors (FLANN)

Proto-RL: Reinforcement Learning with Prototypical Representations

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.

WhatIs.this: simple entity resolution through Wikipedia

ExCon: Explanation-driven Supervised Contrastive Learning

Data Sets and Models for Evaluation of Lexical Semantic Change Detection

Embedded UIScrollView for iOS.

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

Official project website for the CVPR 2021 paper "Exploring intermediate representation for monocular vehicle pose estimation"

Reading list for research topics in multimodal machine learning

Sentiment Analysis: Deep Bi-LSTM+attention model

🚣 A simple recommendation engine (by way of convolutions and embeddings) written in TensorFlow

Implementation of Information Dropout

Profiling and Deanonymizing Ethereum Users

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning