open-metric-learning
awesome-modular-pytorch-lightning
| open-metric-learning | awesome-modular-pytorch-lightning | |
|---|---|---|
| 11 | 1 | |
| 771 | 20 | |
| 2.9% | - | |
| 8.6 | 0.0 | |
| 3 days ago | over 1 year ago | |
| Jupyter Notebook | Python | |
| Apache License 2.0 | GNU General Public License v3.0 only |
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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!
awesome-modular-pytorch-lightning
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[D] What do you think about these experiments on the HUGE effect of learning rate on overfitting?
More detail can be found in https://github.com/kuangliu/pytorch-cifar or the actual personal repo used for running experiments.
What are some alternatives?
virtual_drawing_board - Virtual whiteboard with hand pose estimation
deepvision - PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/implementations - Vision Transformer (ViT), ResNetV2, EfficientNetV2, NeRF, SegFormer, MixTransformer, (planned...) DeepLabV3+, ConvNeXtV2, YOLO, etc.
ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models
so-vits-svc-fork - so-vits-svc fork with realtime support, improved interface and more features.
pytorch-forecasting - Time series forecasting with PyTorch
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
ast - Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".
lightning-hydra-template - PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
pytorch-cifar - 95.47% on CIFAR10 with PyTorch