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You might not want to do this @rurban or smhasher community but I think one nice idea when developing random/pseudo-random functions is to test how compressible they are.
So loop them on their own…
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1. Is it possible to replace caffe (the slowest in the Python platform) with PyTorch (fastest overall) or MXNet (can beat PyTorch in parallel GPUs)
2. Is it possible to replace VGG7 with Inception or…
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### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussi…
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Hi,
The proposal is well-organized, and the motivation for the project looks interesting. However, for a data science class project, I am unsure if implementing a deep learning algorithm should be …
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[ Opening a new issue as discussed in closed issue #292 ]
_Issue_: PyTorch and TensorFlow both implement a function to compute tensor contractions using einstein summation notation (the einsum func…
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Nice work! I have implemented platform-neutral cryptographic [hashing](https://github.com/ghubber/hasch) for my [distributed repository system](https://github.com/ghubber/geschichte) and have just tri…
whilo updated
10 years ago
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Not really sure if this is a bug or not, but earlier I was playing with the new GAN shaders and noticed one thing. The X2_M variant of the GAN shader seem to be producing some artifacts here and there…
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I am wondering if this description is correct? Why there is not QAT in blue highlight?
Thanks!
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Thank you for opening the source code of this work. Basically, I found that the released models do indeed achieve the performance claimed in the paper. However, I have serious doubts about whether the…
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Thanks for your good work! I have a problem when running the code. How to get the labels of the synthetic data after they are generated to train the classification model?