framework-reproducibility
QualityScaler
| framework-reproducibility | QualityScaler | |
|---|---|---|
| 5 | 69 | |
| 418 | 1,759 | |
| 1.2% | - | |
| 5.8 | 7.9 | |
| 7 months ago | 30 days ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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framework-reproducibility
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Tensorflow: I'm getting different results from the same code depending on where I run it. [D]
Even with a fixed seed there's no guarantee that you'll get the exact same results due to the fact that most floating operations are not deterministic when parallelized. You can enable determinism flags in your framework to try and mitigate that, but results may still vary depending on your model and how you're running it.
- Same seed, different images
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Dealing with non-deterministic result
Setting the seed alone is not enough because there will be a randomness resulted from GPU operations (there is some way to eliminate randomness due to GPU operations like https://github.com/NVIDIA/framework-determinism, but I cannot make it work with the current latest version of TF). Another workaround is not using GPU, but the training time does not make sense as I need to iterate fast, trying new idea.
- No Bee, it's you...
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[D] Do you yourself write 100% reproducible ML code?
check out https://github.com/NVIDIA/framework-determinism, which should allow you to make fully reproducible to the bit code that runs on GPU. i've contributed to this repo and the author is extremely helpful.
QualityScaler
What are some alternatives?
einops - Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
cupscale - Image Upscaling GUI based on ESRGAN
Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time
BSRGAN - Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!
horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
NiceScaler - Images & Video DeepLearning Upscaler
zipslicer - A library for incremental loading of large PyTorch checkpoints
torchinfo - View model summaries in PyTorch!
halutmatmul - Hashed Lookup Table based Matrix Multiplication (halutmatmul) - Stella Nera accelerator
image-background-remove-tool - ✂️ Automated high-quality background removal framework for an image using neural networks. ✂️
upscayl - 🆙 Upscayl - #1 Free and Open Source AI Image Upscaler for Linux, MacOS and Windows.
chaiNNer - A node-based image processing GUI aimed at making chaining image processing tasks easy and customizable. Born as an AI upscaling application, chaiNNer has grown into an extremely flexible and powerful programmatic image processing application.