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Description: The current training pipeline for GAN models (e.g., CycleGAN, Pix2Pix) relies on a command-line parser (TrainOptions) to handle hyperparameters and options. However, we are now looking …
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## 🚀 Feature
Add early stopping functionality to DeepChem’s model training modules. This would allow models to stop training when improvements in validation loss or accuracy plateau, enhancing effi…
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### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and found no similar bug report.
### Ultralytics YOLO Component
Hype…
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### Objectives
Train fine-tuned versions of gLM2:
- [x] Version 0 (v0): Initial fine-tuning and qualitative eval (completed).
- [x] Version 1 (v1): Fine-tuning with augmented training data accoun…
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There are so many people who run algorithms like Louvain and just go with the default values, not understanding when you would or would not want to use those values. But I don't think I have seen (an…
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Hello,
I am deeply interested in your Optimum-TPU project.
Currently, I am planning to fine-tune the Llama 3.1 and 3.2 models on my native language and a specific domain, with a fairly large datas…
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I'm trying to do hyperparameter tuning for a next item recommender using yoochoose data (code below) but get the following error:
ValueError: model must be a NextItemRecommender but '' is provided
…
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### Is this a unique feature?
- [X] I have checked "open" AND "closed" issues and this is not a duplicate
### Is your feature request related to a problem/unavailable functionality? Please describe.…
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Goal: Compare random forests with a simple multi layer perceptron in a simple benchmark experiment.
1. We need to define the tasks:
Use three simple small tasks from OpenML: https://mlr3book.ml…
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**Is your feature request related to a problem? Please describe.**
When using the benchmark_filename parameter for sequential recommendation, it requires specifying train, validation, and test sets i…