open-metric-learning
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open-metric-learning | virtual_drawing_board | |
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11 | 2 | |
779 | 32 | |
3.9% | - | |
8.6 | 0.0 | |
6 days ago | over 2 years ago | |
Jupyter Notebook | Jupyter Notebook | |
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
open-metric-learning
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[P] Metric learning tutorial
I invite you to read a post / tutorial about metric learning with the usage of OpenMetricLearning.
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Computer Vision for goods recognition
And there are two good libraries with training pipelines: https://github.com/layumi/Person_reID_baseline_pytorch https://github.com/OML-Team/open-metric-learning
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Retrieval metrics: descriptions, formulas, examples and code
I'm working on OpenMetricLearning project, and we've just finished polishing the module for calculating retrieval metrics. We tried to make documentation self-sufficient, so, each metric includes text description, math formula, input-output example and source code.
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Metric learning tutorial: theory, practice, code examples
code snippets written in OpenMetricLearning (a new PyTroch-based library written by me and my comrades)
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[P] Metric learning: theory, practice, code examples
I've been hoping to look at OP's Open Metric Learning but have been using Pytorch Metric Learning.
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Open Metric Learning — a new open-source library for Metric learning!
Q: Do you have X in your library? I can't find it in the docs. A: The library is still pretty new and we actively developing it, so if you want to see something in OML, please don't hesitate to write an issue.
- Library for Metric Learning Pipelines
- We released an open-source tool for metric learning
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[P] We released a new open-source library for metric learning!
Hi everyone! My comrades have released the PyTorch-based library for representation learning named OpenMetricLearning. I kindly ask you to support them by putting a star on GitHub: https://github.com/OML-Team/open-metric-learning!
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What are some alternatives?
awesome-modular-pytorch-lightning - LightCollections⚡️: Ready-to-use implementations such as `LightningModules` for various computer vision papers.
robo-vln - Pytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"
ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models
EyeDraw - Small computer vision software that allows you to draw with your own eyes
pytorch-forecasting - Time series forecasting with PyTorch
CenterSnap - Pytorch code for ICRA'22 paper: "Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation"
ast - Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".
Human-pose-estimation - A quick tutorial on multi-pose estimation with OpenCV, Tensorflow and MoveNet lightning.
tradingview-scraper
notebooks - Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
pytorch-openpose - pytorch implementation of openpose including Hand and Body Pose Estimation.