open-metric-learning
Library for metric learning pipelines and models. (by OML-Team)
ast
Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer". (by YuanGongND)
| open-metric-learning | ast | |
|---|---|---|
| 11 | 1 | |
| 771 | 1,017 | |
| 2.9% | - | |
| 8.6 | 2.3 | |
| 2 days ago | 12 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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
Posts with mentions or reviews of open-metric-learning.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-12-27.
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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!
ast
Posts with mentions or reviews of ast.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-11-10.
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Increasing Model Dimensionality
Unless this is purely an educational exercise, just finetune an imagenet model, or better yet a model trained on spectrograms (cochleagrams if you can find one).
What are some alternatives?
When comparing open-metric-learning and ast you can also consider the following projects:
virtual_drawing_board - Virtual whiteboard with hand pose estimation
soxan - Wav2Vec for speech recognition, classification, and audio classification
awesome-modular-pytorch-lightning - LightCollections⚡️: Ready-to-use implementations such as `LightningModules` for various computer vision papers.
CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.
ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models
SimCLR - PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
pytorch-forecasting - Time series forecasting with PyTorch
efficientnet - Implementation of EfficientNet model. Keras and TensorFlow Keras.