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Support Vector Machines (SVM) is a supervised machine learning algorithm for classification and regression tasks. SVM works by finding the optimal hyperplane that separates data points of different cl…
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Assuming I have a pose graph optimization problem of SE(3) poses. I would like to optimize only scale of translation(i.e. norm of translation vector), while keeping rotation and direction of translati…
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**Describe the bug**
Hi team,
Just want to understand how karpenter works with azure AKS
I saw microsoft documentation which says below that there is limitation while working with AKS, we can not…
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# First and foremost consider this:
- Only RetroArch bugs should be filed here. Not core bugs or game bugs
- This is not a forum or a help section, this is strictly developer oriented
## Descript…
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The media transformation are defined in pytensor could be leveraged in a function optimization in order to get parameters from more intuitive statements. For instance,
"At (scaled) spend of 1, I wi…
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**Describe the issue**
As we get more and more users, some crazy usages of Taichi emerge. For example, @squarefk reported a case that generates 100K statements after AST lower that takes 6 min+ t…
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**Describe the bug**
The goal is to train an LLM adapter (freeze the LLM and only train the adapter). However, training on a single GPU without DeepSpeed can achieve 79.24% on testing, while training…
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https://github.com/user-attachments/assets/c2445e46-ea45-459a-83d2-ff7c1265ec16
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Hello, reading the documentation for gp_minimize is says the 'Length Scale', 'Covariance Amplitude', and 'Noise' are optimized.
However, when I am running they seem to be fixed (look at res.models)…