🎯 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

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

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

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.

Automatic MILP solver configuration by learning problem similarities

Unsupervised Video Summarization via Successor Embeddings

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

Prognostics Strategies: Residual Similarity-Based Models

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

Robust representations of oil wells' intervals via sparse attention mechanism

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