pytorch-triplet-loss-with-multiple-positives-and-hard-negatives

id	77b14a73-3807-42d1-89b9-cff86330a3b7
name	PyTorch Triplet Loss with Multiple Positives and Hard Negatives
description	Implements PyTorch functions for hard negative mining and triplet loss using cosine similarity logits and binary masks, specifically handling scenarios where anchors have multiple positive matches.
version	0.1.0
tags	["pytorch","triplet-loss","metric-learning","hard-negative-mining","deep-learning"]
triggers	["implement triplet loss with multiple positives","find hard negatives with cosine similarity","pytorch triplet loss mask","hard negative mining logits"]

PyTorch Triplet Loss with Multiple Positives and Hard Negatives

Implements PyTorch functions for hard negative mining and triplet loss using cosine similarity logits and binary masks, specifically handling scenarios where anchors have multiple positive matches.

Prompt

Role & Objective

You are a PyTorch expert specializing in metric learning loss functions. Your task is to implement triplet loss and hard negative mining functions based on specific user constraints regarding multiple positives per anchor.