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parsing issue --dynamic-rc
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Parameter set in options file:
--dynamic-rc 0:498,vbr=0,multipass…
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Results should be compared with the findings in the paper. That way, we can assess the similarity of the method.
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Thanks for the awesome work! I used pix2pix in tensorflow and had some good success. I tried the same set of images with your model, however the initial training doesn't seem go as expected.
Below …
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https://kroonstazy.medium.com/hyper-parameter-tuning-2cc429e432d6
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Thanks a lot for implementing PPS in R.
The decision tree of sklearn is not set with the same option than R. As sklearn default parameters are so small, I think sklearn's trees are much finer than …
SamGG updated
3 years ago
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Hello,
i use the Mask R-CNN for my project. I have to detect defects in images.
However i am not sure if my parameters (epochs, batches, optimizers, learning_rate) are suited for my problem.
I am…
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Can we support Tensorflow hyper parameter tuning on Zoo? So we can tune different tf network structures. Tensorflow has such a tool: https://www.tensorflow.org/tensorboard/hyperparameter_tuning_with_h…
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Hi!
I'm using the (wonderful) nlopt library and its MMA algorithm to solve topology optimization problem using the SIMP approach. As I start to master simple problems, I am now trying to implement …
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I would like to add the following publication:
RepairLLaMA: Efficient Representations and Fine-Tuned Adapters for Program Repair
Automated Program Repair (APR) has evolved significantly with the…
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Dear authors,
Hello! I have a question regarding the two-stage fine-tuning process described in your work. Could you kindly help me understand how the two stages are connected during training? Specif…