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In order to aid in designing a dynamic tuning algorithm for Meson, we should build a simulator. Recent work from HotPETS2020 describes a simulator for mixnets but it is not open source yet and we susp…
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I can't separate the FECG completely from the non-invasive abdominal signals when using NSCA.Could you please provide a test demo?
bfyjr updated
3 months ago
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* [ ] how effective are different compression? This will require passing some argument from train.py
* [ ] given the same number of bytes communicated, which coding is most effective? This will requi…
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Problem Description:
When attempting to use ForecastingGridSearchCV for hyperparameter tuning in forecasting tasks, it appears that it's not possible to tune cross-validation parameters (such as wind…
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Two copies of `criteo_resnet_pytorch` exist in .github/workflows/regression_tests_variants.yml
Is this intentional? If not, which is the correct version? Thanks!!
```
criteo_resnet_pytorch:
…
tfaod updated
4 months ago
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**Description**
It would be interesting when tuning back pressure to know what's the current observed base RTT, especially when using model based algorithms such as Vegas, even more so if they are …
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### Is your feature request related to a problem?
Printing overhangs can be challenging and result in messy results.
### Describe the solution you'd like
Implement an option to print the firs…
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https://www.marktechpost.com/2023/12/09/google-ai-research-proposes-trice-a-new-machine-learning-algorithm-for-tuning-llms-to-be-better-at-solving-question-answering-tasks-using-chain-of-thought-cot-p…
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Hi, is there a not to hacky way of using your CUDA implementation of the Hausdorff algorithm in PyTorch?
Thanks for any reply in advance and nice work tuning the algorithm to this degree,
Chris
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Implement automatic tuning of temperature parameter of entropy and reproduce results from [Soft Actor-Critic Algorithms and Applications](https://arxiv.org/abs/1812.05905).