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#### Description
To enhance the performance of the flight delay prediction model, we should explore the use of more advanced machine learning models and perform hyperparameter tuning. The following s…
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# URL
- https://arxiv.org/abs/2410.21228v1
# Authors
- Reece Shuttleworth
- Jacob Andreas
- Antonio Torralba
- Pratyusha Sharma
# Abstract
- Fine-tuning is a crucial paradigm for adapting pr…
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### Description
We have received exclusive data for speech-to-text (STT) from a specific speaker. The task is to fine-tune the model using both this speaker's training data and the base training data…
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Hello, I’m leaving an issue as I have a few questions.
While tuning the parameters of PDE Loss and Mono Loss, I set Alpha=0 and Beta=0, and the performance turned out to be better than what was rep…
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Hi everbody,
Thanks once again for the excellent tool. At the moment, we're using july release in nvidia px2 and we have some performance issues. When I read the paper/issues for both rovio and map…
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I am currently facing a few issues:
(1) What is the purpose of pretraining?
(2) In the model section of PointMamba/cfgs/finetune_modelnet.yaml, the parameter NAME:PointMamba, which indicates that th…
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### Description
I recently read a discussion on Zulip around performance measurements and OS tuning to limit interference.
It was pretty exciting so I went ahead and checked Quarkus documentation …
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# Advanced configuration for nginx
There are some small changes you can make to make your website faster, and a little more secure.
## Security enhancements
The original configuration will ke…
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Performance in Cantaloupe is influenced by many factors including the processor strategy and caching setup. In Cantaloupe, processors read images from [sources](https://cantaloupe-project.github.io/ma…
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Hi Viewer,
I am performing predictions using both `XGBoost` and `Random Forest` models on a dataset, but I consistently observe that the Random Forest model achieves better `R²` scores and `correla…