39 Open source projects that are alternatives of or similar to DREML

A Tensorflow retrieval (space embedding) baseline. Metric learning baseline on CUB and Stanford Online Products.

Position embedding layers in Keras

A multi-thread implementation of node2vec random walk.

(Pytorch and Tensorflow) Implementation of Weighted Contrastive Loss (Deep Metric Learning by Online Soft Mining and Class-Aware Attention)

Some Cool NLP and CV Repositories and Solutions （收集NLP中常见任务的开源解决方案、数据集、工具、学习资料等）

Siamese and triplet networks with online pair/triplet mining in PyTorch

A curated list of community detection research papers with implementations.

100+ Chinese Word Vectors 上百种预训练中文词向量

An open-source vector database for embedding similarity search and AI applications.

TensorFlow implementation of TransE and its extended models for Knowledge Representation Learning

A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).

Using XLNet as Embedding of Keras

An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".

Embedding模型代码和学习笔记总结

Minimum-distortion embedding with PyTorch

An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

Embed media and rich content in posts: YouTube, Vimeo, Twitch and more.

A simple wrapper class for extracting features(embedding) and comparing them using BERT in TensorFlow

中文文本分类实践，基于搜狗新闻语料库，采用传统机器学习方法以及预训练模型等方法

Using machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity

Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST

Go Embed experiments

An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data

Multi-Hop Logical Reasoning in Knowledge Graphs

OpenANE: the first Open source framework specialized in Attributed Network Embedding. The related paper was accepted by Neurocomputing. https://doi.org/10.1016/j.neucom.2020.05.080

Mandrake 🌿/👨‍🔬🦆 – Fast visualisation of the population structure of pathogens using Stochastic Cluster Embedding

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

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

official pytorch implementation of "Deep Metric Learning with Spherical Embedding", NeurIPS 2020

simple example face recognition with deep metric learning to dlib

Official PyTorch Implementation of ProxyGML Loss for Deep Metric Learning, NeurIPS 2020 (spotlight)

CVPR 2019: Ranked List Loss for Deep Metric Learning, with extension for TPAMI submission

Generalized Deep Metric Learning.

Code for CVPR 2019 paper "Deep Metric Learning to Rank"

(CVPR 2020) This repo contains code for "PADS: Policy-Adapted Sampling for Visual Similarity Learning", which proposes learnable triplet mining with Reinforcement Learning.

Official PyTorch Implementation of Embedding Transfer with Label Relaxation for Improved Metric Learning, CVPR 2021

Official PyTorch implementation of "Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning" (AAAI 2021)

Satellite/Aerial Image Retrieval: using Bing maps tile system to automatically download aerial imagery (maximum resolution available) given a latitude, longitude bounding box.