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Dr. Joao Paulo Schwarz Schuler PRO

schuler
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https://www.researchgate.net/profile/Joao-Paulo-Schwarz-Schuler

AI & ML interests

artificial intelligence

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posted an update 3 days ago
📢 I will create your README.md file 4 you 4 free I am currently testing an open source prototype that writes/updates README.md files for projects with up to 10k source code lines. If you have an open source project needing a new README file on github, just reply to this post with your project URL. Your project will be used in my testing. If all is good in the testing, I'll send you a pull request via github with the updated README.md. No submitted source code will be used for model training. All computer languages are accepted including pascal, java, cobol, fortran, lisp, … I will create READMEs only for the first few requests. The testing is available only to open source projects.
updated a model about 1 month ago
schuler/experimental-JP47D62G
published a model about 1 month ago
schuler/experimental-JP47D62G
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📢 I will create your README.md file 4 you 4 free

I am currently testing an open source prototype that writes/updates README.md files for projects with up to 10k source code lines.

If you have an open source project needing a new README file on github, just reply to this post with your project URL. Your project will be used in my testing. If all is good in the testing, I'll send you a pull request via github with the updated README.md.

No submitted source code will be used for model training.

All computer languages are accepted including pascal, java, cobol, fortran, lisp, …

I will create READMEs only for the first few requests. The testing is available only to open source projects.
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1982
📢 Old Research Alert: Making Computer Vision Models Smaller & Smarter!

Years ago, I coded an optimization in the first layers of a convolutional neural network (computer vision) and ended never posting here. The optimization decreases the number of parameters while increasing accuracy. The optimization relies in separating (branching) chromatic and achromatic information through the layers of a neural network.

YouTube videos:
https://www.youtube.com/watch?v=u4vZZmBMFLw
https://www.youtube.com/watch?v=-BD293yqdKI

Source codes:
https://github.com/joaopauloschuler/two-branch-plant-disease
https://github.com/joaopauloschuler/two-path-noise-lab-plant-disease

Research papers:
https://www.researchgate.net/publication/361511874_Color-Aware_Two-Branch_DCNN_for_Efficient_Plant_Disease_Classification
https://www.researchgate.net/publication/355215213_Reliable_Deep_Learning_Plant_Leaf_Disease_Classification_Based_on_Light-Chroma_Separated_Branches

May the force be with you.
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