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Top 11 Python metric-learning Projects
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pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
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Scout Monitoring
Free Django app performance insights with Scout Monitoring. Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.
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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
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Project mention: Instance segmentation of small objects in grainy drone imagery | /r/computervision | 2023-12-09
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similarity
TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
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InfluxDB
Purpose built for real-time analytics at any scale. InfluxDB Platform is powered by columnar analytics, optimized for cost-efficient storage, and built with open data standards.
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hardnet
Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"
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Angular-Penalty-Softmax-Losses-Pytorch
Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)
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sapbert
[NAACL'21 & ACL'21] SapBERT: Self-alignment pretraining for BERT & XL-BEL: Cross-Lingual Biomedical Entity Linking.
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Python metric-learning discussion
Python metric-learning related posts
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Create Your Own Custom Plugins for ChatGPT 🎉 Browse the Web, Execute Code, Use APIs 🛠️
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How do you think search will change with technology like ChatGPT, Bing’s new AI search engine and the upcoming Google Bard?
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Combining multiple lists into one, meaningfully
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speech_recognition not able to convert the full live audio to text. Please help me to fine-tune it.
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Questions about fine-tuned results. Should the completion results be identical to fine-tune examples?
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[D] Looking for an open source Downloadable model to run on my local device.
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Is there a way I can feed the gpt3 model database object like tables? I know we can create fine tune model but not sure about the completion part. Please help!
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A note from our sponsor - SaaSHub
www.saashub.com | 17 Sep 2024
Index
What are some of the best open-source metric-learning projects in Python? This list will help you:
Project | Stars | |
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1 | pytorch-metric-learning | 5,946 |
2 | Person_reID_baseline_pytorch | 4,061 |
3 | catalyst | 3,272 |
4 | finetuner | 1,462 |
5 | similarity | 1,008 |
6 | open-metric-learning | 856 |
7 | quaterion | 632 |
8 | hardnet | 511 |
9 | Angular-Penalty-Softmax-Losses-Pytorch | 481 |
10 | sapbert | 166 |
11 | icl-ceil | 90 |