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Train the initial DQN model. This model will have 2 actions: close or hold. Hyperparameter search for different numbers of memories, evaluate convergence
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I am currently developing a model to classify a large transaction graph and want to test different graph architectures. For this purpose I want perform hyperparameter optimization for the model traini…
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Hi @hcho3 and Prof. @tdhock
We have 18000 combinations for hyperparameter tuning. Please find this code.
Link - https://github.com/avinashbarnwal/aftXgboostPaper/blob/master/src/R/production/xgb…
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Docs
https://docs.ray.io/en/master/tune/index.html
Core example
https://github.com/ray-project/ray/blob/master/python/ray/tune/examples/pbt_transformers/pbt_transformers.py
etgld updated
10 months ago
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Hello,
When I tried to replicate your binary_adapter experiment using the VTAB-1k dataset, I was unable to reproduce the results that you reported. I would like to discuss some **_potential issues wi…
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My plans:
For Phase 1 I'm doing random with (essentially unlimited) explicit values, which can approximate true random with distributions. Stopping criteria will be: max_models, max_time_ms, and "met…
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Implement Grid Search or Random Search to find the optimal hyperparameters for the Vision Transformer model. Ensure the following:
Search Range: Define a comprehensive search range for each hyperpa…
Dv04 updated
9 months ago
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### Search before asking
- [X] I have searched the YOLOv8 [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussions) and fou…
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see
* https://github.com/wesselb/neuralprocesses
* https://yanndubs.github.io/Neural-Process-Family/text/Intro.html
* https://kasparmartens.rbind.io/post/np/
Now that `autoemulate` uses the skl…
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If I want to implement this method into scenes of low overlap, what's the necessary change for the code?
Do I need to increase the search range or input resolution? Thanks!