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**Is your feature request related to a problem? Please describe.**
Ans. Our repository emphasizes mental health prediction models, but it doesn't currently include one for Parkinson's disease. This is…
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Crop Pest and Disease Detection
:red_circle: **Aim** : The aim of this project is to make a deep learni…
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Couple of strategy/scenarios
1) train-to-train model
- train a sub-class of PDEs with NeuralOperator
- transfer learning pre-trained prediction from NeuralOperator problem to PINNs
- PINNs train…
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@Mark-Torrance I've added a version of the draft on overleaf and invited you.
I think the methods and results are alright although slightly long and I don't have materials on OSF yet.
I'm workin…
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When using the `EEGClassifier` class from the `braindecode` library for training on small datasets, two significant issues arise:
1. **Loss Calculation Failure**: The classifier fails to comput…
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https://doi.org/10.1021/acscentsci.6b00367 (preprint https://arxiv.org/abs/1611.03199)
> Recent advances in machine learning have made significant contributions to drug discovery. Deep neural netwo…
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Instead of using the SARIMAX model's predictions to be fed as a feature / observation into the agent at every time step, maybe using the predictions of a separately trained LSTM may perform better. I'…
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# [Milestone 4: In this milestone, you will deploy the machine learning model you trained in milestone 3.](https://github.ubc.ca/MDS-2020-21/DSCI_525_web-cloud-comp_students/blob/master/Milestones/mil…
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Hi, i have a probleme that my accuracy didnt increase, it is always 0,66 after 1400 epochs. Do you have any idea whtat can i check first. I think my input data and labels are right. Greetz Tim