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Did you try any experiments of PGD with coupled head? In this case we don't seperated classification and regression head. I want to apply your method to my model with coupled head. In this case I need…
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1.TexturePose: Supervising Human Mesh Estimation with Texture Consistency(2019)
Texture map (texel): A corresponding UVmap un-warps the template surface onto an image, A, which is the texture map
co…
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_Discussed with Leon-Friedrich Thomas (@thomaslfEO)._
Here is a tutorial explaining, how to wrap a torch model, to make it behave like a Scikit-Learn model:
https://machinelearningmastery.com/use-…
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I'm having a problem when training ssd mobilenet v3 lite, I have lost inf at some steps. Does that affect my results?
---2019-08-22 13:54:37,701 - root - INFO - Epoch: 6, Step: 20, Average Loss: inf,…
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https://www.javahabit.com/2019/03/02/decision-tree-using-python/
In the previous post, we learnt about Support vector regression. In this post, we will see a new way of deciphering information using …
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Most of methods in the list will be implemented in the order.
- inference for Sparse Gaussian process regression (based on JMLR 2005 "A unifying view of sparse approximate Gaussian process regression…
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The scheduler currently relies on a crude heuristic to infer topologies that may suggest that certain tasks are "root-ish". If the tasks are detected as such, they are "queued" to avoid memory pressur…
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## Package app-project
## Describe the bug
A clear and concise description of what the bug is.
Found while doing follow up testing for #2238. I was testing to make sure I didn't introduce a reg…
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A new feature is being implemented for the Timeseries module to evaluate relevant statistical tests on both pre and post models. It would be meaningful to implement this module throughout Pycaret and …
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Problem: CatBoost is a great library, but it currently lacks reliable modern uncertainty quantification that is rather easy to implement using conformal prediction. https://github.com/valeman/awesome-…