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Hi,
I am implementing the Omnipath resources for NicheNet analysis on a Windows computer. I was optimizing the parameters for the model as shown below:
```
# Parameter optimization
expression_se…
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## Chinatown.js Talk Submission
**Talk Title:** Welcome to the Socket-verse: What making a multiplayer game with ThreeJS taught me about memory optimization in the browser
**Talk Description:** …
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### Description of the feature
Lazy free optimization introduces a manifest syntax that specifies the percentage of the total heap that can be freed in a lazy manner. Until this threshold is met, G…
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Hi, your readme says
> This version is rewritten from GDScript to Rust, and it's optimized to remove the expensive list manipulations.
Does this optimization affects performance in a good way?
…
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The memory barrier optimization done in `appendToCurIG` on ARM32/ARM64 looks very expensive throughput wise:
https://github.com/dotnet/runtime/blob/e0a81708fd4f7f57ad85c3d4cffcc3752e5d4046/src/core…
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Hello,
I'm working on optimizing an objective function that involves rescaling my data. While log transformation is common, I've opted for the Yeo-Johnson transformation due to its ability to handle …
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Instead of just using some worker containers, it may be cheaper to deploy the code to the cloud and use google cloud run to schedule and run the optimization on demand. Especially for low frequency AP…
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### What kind of issue is this?
- [X] React Compiler core (the JS output is incorrect, or your app works incorrectly after optimization)
- [ ] babel-plugin-react-compiler (build issue installing o…
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When using kriging, the most expensive task is the calibration of the parameters of the covariance function, done by log-likelihood maximization. When the optimization is done using a gradient-based a…
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Hi,
great work!!
I have a short question regarding a couple of sentences in the paper.
When it is commented: "The inner optimization argmin Ltrain(w,alpha) can be expensive"
"The idea is to ap…