pytorch-metric-learning
simsiam-cifar10
| pytorch-metric-learning | simsiam-cifar10 | |
|---|---|---|
| 3 | 1 | |
| 5,764 | 38 | |
| - | - | |
| 7.9 | 0.0 | |
| about 1 month ago | over 2 years ago | |
| Python | Python | |
| MIT License | MIT License |
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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
simsiam-cifar10
What are some alternatives?
dino - PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
lightly - A python library for self-supervised learning on images.
byol-pytorch - Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
ALAE - [CVPR2020] Adversarial Latent Autoencoders
autogluon - Fast and Accurate ML in 3 Lines of Code
Ne2Ne-Image-Denoising - Deep Unsupervised Image Denoising, based on Neighbour2Neighbour training
similarity - TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
EasyCV - An all-in-one toolkit for computer vision