Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels (by subeeshvasu)
techniques
Techniques for deep learning with satellite & aerial imagery (by satellite-image-deep-learning)
| Awesome-Learning-with-Label-Noise | techniques | |
|---|---|---|
| 1 | 9 | |
| 2,534 | 7,832 | |
| - | 2.7% | |
| 4.2 | 8.8 | |
| 13 days ago | 4 days ago | |
| - | Apache License 2.0 |
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.
Awesome-Learning-with-Label-Noise
Posts with mentions or reviews of Awesome-Learning-with-Label-Noise.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-03-25.
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[D] Should expert opinion be a bigger part of the Machine Learning world?
And then there's learning from noisy labels. Lots of work on that as well.
techniques
Posts with mentions or reviews of techniques.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-02.
- What satellite image analytics are in demand now?
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Tools for object detection on satellite images
This repo has been useful to me: https://github.com/satellite-image-deep-learning/techniques
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How to convert big TIF image to smaller jpgs
Here's an extensive github collection on anything related https://github.com/robmarkcole/satellite-image-deep-learning
- Deep Learning for Remote Sensing
- If you want to learn about Machine Learning on Satellite Imagery, this constantly updated github repo has links to hundreds of different tutorials
- CNN in satellite images
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Sony teases ‘breakthrough AI project’ created with Gran Turismo studio Polyphony
Out of pure curiousity I checked and though theres a bunch of specialised categorisation/segmentation tools like the ones in the link, I didn't find any explicitly for generating realtime 3d assets: https://github.com/robmarkcole/satellite-image-deep-learning
- robmarkcole/satellite-image-deep-learning: Resources for deep learning with satellite & aerial imagery (incredibly comprehensive)
- Skills for a career in Remote Sensing?
What are some alternatives?
When comparing Awesome-Learning-with-Label-Noise and techniques you can also consider the following projects:
the-incredible-pytorch - The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
awesome-satellite-imagery-datasets - 🛰️ List of satellite image training datasets with annotations for computer vision and deep learning