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As @keithchev pointed out over in #10:
> the use of autopeptideml here is a bit inefficient because it re-generates the ESM embeddings for each of the 12 named models. For now this is probably okay…
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Design complex UML Diagrams:
- Use Case Diagrams for interactions between doctors, patients, and admins.
- Class Diagrams for system structure, focusing on entities like Patient, Doctor, Appointment…
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Hello, I have some questions about region based training.
I am working on a task of segmenting myocardial scars and edema, which I will divide into two stages: coarse segmentation and fine segmentati…
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In some cases, we run prediction using restart file from other ensembles. For example in Drogon, we have a prediction run that is based on iter-3 of automatic history matching (AHM) model. For these c…
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Similar to what is described in #5637, LinearSVC `predict` returns a float dtype rather than integer, which breaks compatibility with third-party tools that assume classifier predictions are integers …
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@charann29
I have a code related to our project --- [Proj](https://github.com/asr-alurisanthoshreddy/asr/tree/main/RFP)
The Code running in the VS -- confused with the front end
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This issue can be a collection and discussion of methods we could add to the library at some point, in no particular order :) Feel free to comment with suggestions and if you feel comfortable, you are…
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This is more of a theoretical question, but I've noticed that prominent decomposition methods (e.g., VMD, EWT, EMD) have a limitation when trying to predict future time steps in that the decomposition…
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Ensembling is used in frame interpolation to drastically improve visual quality by using different predictions and generating a mean. [Here](https://arxiv.org/pdf/2011.01280.pdf) is a paper talking ab…
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Hello,
I installed whokaryote with conda and I am trying to run using this:
whokaryote.py --contigs /home/shishido/Lichen_data/Meta_omics2023/contigs/contigs_L10.fasta --outdir whokaryote_output…