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If yout take a look at https://github.com/ruby-concurrency/concurrent-ruby/blob/bbeacbcebf72668ed04df0738df7e3a654f7c177/lib-edge/concurrent/lazy_register.rb#L61 you will see, that it has a bug.
Wh…
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I don't see how the stochasticity of the actions 1/T*... is implemented in the theano line above. Isn't log_ likelihood_sym only computing one distribution? and not T of them and taking the averag…
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**Model saved periodically do not match the Reward on training window**
I have a question when I was checking my training result. I am using a custom gym environment, and PPO algorithm from SB3.
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### Model/Pipeline/Scheduler description
The generative priors of pre-trained latent diffusion models have demonstrated great potential to enhance the perceptual quality of image super-resolution (SR…
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How to use the library.
For example the Stochastic indicator.
public static RetCode Stoch (
double [] inHigh, double [] inLow, double [] inClose, int startIdx, int endIdx, double [] outSlowK, dou…
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Firstly, I would like to express appreciation for the multifunctional capabilities the package offers.
Please help me with correcting the code
In the course of utilizing the multiple imputatio…
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This method is better for reconstruction performance.
[1] G. T. Herman and L. B. Meyer, “_Algebraic Reconstruction Techniques Can Be Made Computationally Efficient_” IEEE Trans. Med. Imaging, vol. …
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To illustrate that stochastic downsampling may be a source of variability in results, we fully implemented SPADE's density estimator + downsampling rules.
Applied it to a synthetic dataset:
![image](…
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In the pegasus paper, there are two types of pre-trained models, PEGASUS_BASE and PEGASUS_LARGE. And there are different choices of training corpus, c4, HugeNews, and Mixed & Stochastic. I'm wondering…