🎯 Task-oriented embedding tuning for BERT, CLIP, etc.

TensorFlow Similarity is a python package focused on making similarity learning quick and easy.

Metric learning and retrieval pipelines, models and zoo.

Blazing fast framework for fine-tuning similarity learning models

Type4Py: Deep Similarity Learning-Based Type Inference for Python

A PyTorch implementation of siamese networks using backbone from torchvision.models, with support for TensorRT inference.

[CVPR 2022] Official PyTorch implementation for Attributable Visual Similarity Learning

Just prepare config file and start training your metric learning model with ease

Similarity Learning applied to Speaker Verification and Semantic Textual Similarity

This repository provides a Matlab implementation of MP-SimRank, a graph-based framework that models multiple perspective of similarity in the data

Automatic MILP solver configuration by learning problem similarities

Robust representations of oil wells' intervals via sparse attention mechanism

High-Dimensional Similarity Learning

Residual Embedding Similarity-based Network Selection (RESNets) for forecasting network dynamics.

Unsupervised Video Summarization via Successor Embeddings

Prognostics Strategies: Residual Similarity-Based Models

A Python implementation of similarity network fusion by Wang et al, 2014 (https://doi.org/10.1038/nmeth.2810)

PyTorch model that uses triplet loss to find the image with most similar skin condition

Хакатон "Лидеры цифровой трансформации 2023". Задача №5. Поиск одинаковых товаров на маркетплейсе.

Similarity between faces: One person resembles another person to a large degree. This can lead to many problems facing security surveillance systems. Facial recognition systems have difficulty distinguishing between the main person and other people who are highly similar in terms of features.