neural-style-transfer
glasses
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| neural-style-transfer | glasses | |
|---|---|---|
| 1 | 2 | |
| 1 | 413 | |
| - | - | |
| 3.6 | 1.8 | |
| almost 3 years ago | over 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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neural-style-transfer
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Neural Style Transfer in a Most Simple Way
OK, I will let you see the code in a second but I want to give some instructions before starting. I will continue to explain the "Neural Style Transfer" implementation that I have made (You can access the codes from this link). We will continue with the codes and the mathematical background of the algorithm at the same time. So, don't be confused! Please stay on the right track, Sir!
glasses
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Are Open-sourced Implementations Sometimes Over-engineered?
Yes, they are. Take with a grain of salt, but researchers (usually) do not know how to code and (or) they don't care to properly share their work. Things that are learned in the first Computer Science bachelor year, like OOP, DRY, packages, good variables/function naming, are apparently not used in ml research. This is why I created my own library (https://github.com/FrancescoSaverioZuppichini/glasses), for me, good code means less time I have to spend working and more free time.
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[N] Facebook announced a new AI open-source called DeiT (A new technique to train computer vision models)
I have implemented most of the sota models in my library (https://github.com/FrancescoSaverioZuppichini/glasses). These are my 2 cents:
What are some alternatives?
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monodepth2 - [ICCV 2019] Monocular depth estimation from a single image
neuralforecast - Scalable and user friendly neural :brain: forecasting algorithms.
HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
deep-learning-v2-pytorch - Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
IJCAI2023-CoNR - IJCAI2023 - Collaborative Neural Rendering using Anime Character Sheets