LIRE
pytorch-metric-learning
| LIRE | pytorch-metric-learning | |
|---|---|---|
| 1 | 3 | |
| 748 | 5,770 | |
| - | - | |
| 1.0 | 7.9 | |
| about 3 years ago | about 1 month ago | |
| Java | Python | |
| GNU General Public License v3.0 or later | MIT License |
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LIRE
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Ask HN: Anyone using the Apache LIRE project?
I've started looking into visual search and am wondering if anyone has experiences using the LIRE project https://github.com/dermotte/lire
pytorch-metric-learning
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Similarity Learning lacks a framework. So we built one
Not a full featured framework, but pytorch-metric-learning has data loaders, lossess, etc. to facilitate similarity learning: https://github.com/KevinMusgrave/pytorch-metric-learning
Disclaimer: I've made some contributions to it.
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[R][D] VAE Embedding Space - Can we force it to learn a metric?
You can use the triplet loss together with the Gaussian prior. It will be zero centered though and the clusters are not as separated when you use the triplet loss only.There are many alternative to the triplet loss, in case it needs to be a metric: https://github.com/KevinMusgrave/pytorch-metric-learning
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[D] Similar Image Retrieval
This repo provides the tools and examples needed to build such a model: https://github.com/KevinMusgrave/pytorch-metric-learning
What are some alternatives?
trace.moe - Anime Scene Search by Image
dino - PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
lightly - A python library for self-supervised learning on images.
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
byol-pytorch - Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
autogluon - Fast and Accurate ML in 3 Lines of Code
simsiam-cifar10 - Code to train the SimSiam model on cifar10 using PyTorch
similarity - TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
Transformer-SSL - This is an official implementation for "Self-Supervised Learning with Swin Transformers".
ComboLoss - Official PyTorch Implementation for Paper <ComboLoss for Facial Attractiveness Analysis with Squeeze-and-Excitation Networks> (State-of-the-art Performance on 3 Popular Benchmark Dataset)
barlowtwins - Implementation of Barlow Twins paper
fast-reid - SOTA Re-identification Methods and Toolbox