quaterion
hardnet
| quaterion | hardnet | |
|---|---|---|
| 4 | 1 | |
| 626 | 507 | |
| 2.6% | - | |
| 2.3 | 0.0 | |
| about 1 month ago | about 1 year ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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quaterion
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Similarity Learning lacks a framework. So we built one
PML is a great collection of implementations, but not the best framework. Also you can use PML with Quaterion: https://github.com/qdrant/quaterion/blob/master/examples/tra...
- Show HN: Quaterion – x100 faster fine-tuning of similarity learning models
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[N] Quaterion, a blazingly fast framework for similarity learning.
Just released. Quaterion — an open source framework for training and fine-tuning similarity learning models. It enables you to train models significantly (100x) faster, and iterate over experiments in minutes instead of hours even with a laptop GPU. It takes advantage of the PyTorch Lightning backend to make a flexible and scalable learning pipeline. GitHub https://github.com/qdrant/quaterion
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Introducing the Quaterion: a framework for fine-tuning similarity learning models
Quaterion on GitHub: https://github.com/qdrant/quaterion
hardnet
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Can't find images?
Downloading: "https://github.com/DagnyT/hardnet/raw/master/pretrained/train_liberty_with_aug/checkpoint_liberty_with_aug.pth" to /home/showjdgb/.cache/torch/hub/checkpoints/checkpoint_liberty_with_aug.pth
What are some alternatives?
lightning-flash - Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains
affnet - Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"
similarity - TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
Person_reID_baseline_pytorch - :bouncing_ball_person: Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Text2Poster-ICASSP-22 - Official implementation of the ICASSP-2022 paper "Text2Poster: Laying Out Stylized Texts on Retrieved Images"
pytorch-metric-learning - The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
kervolution - Kervolution Library in PyTorch (CVPR 2019 Oral)
CEBRA - Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA
txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
Milvus - A cloud-native vector database, storage for next generation AI applications
awesome-metric-learning - 😎 A curated list of awesome practical Metric Learning and its applications