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Hello,
I have a new machine learning technique for effective data-fusion of chemical measurements (FTIR, UV, ICP, ED, etc..).
Could you recommend a dataset for benchmarking?
Best,
Tommaso
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_Issue [JP-3650](https://jira.stsci.edu/browse/JP-3650) was created on JIRA by [Ned Molter](https://jira.stsci.edu/secure/ViewProfile.jspa?name=emolter):_
Error message
ValueError: Some pixels do…
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```
SELECT DISTINCT ?protein ?product_name ?dataset ?dataset_name ?expedition ?spectral_count ?protein_id peptide_count ?sequence ?ids
WHERE {
?protein a .
?protein ?p ?o…
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Hi, I'm trying to run the code from the [`train_autoencoder` notebook](https://github.com/magenta/ddsp/blob/main/ddsp/colab/demos/train_autoencoder.ipynb) with a newer DDSP version (3.2.0). I made a l…
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I found that I can't reproduce the result in the paper, and the released pretrained model is also work badly. So , could you give some more instruction about this?
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All,
As Laplacian could be computed using finite difference techniques (e.g., second derivative or first derivative of the first derivative ) or spectral methods, It will be helpful to mention the t…
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**Reporter: Kyle Conroy**
To reproduce:
```
import numpy as np
from jdaviz import Specviz
import tempfile
from astroquery.mast import Observations
data_dir = tempfile.gettempdir()
fn =…
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# Spectra datasets benchmark
Add benchmarking for properties inference and spectra generation.
Contacts: @maja-jablonska
Participants: @maja-jablonska
## Goals and deliverable
- [ ] Parame…
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http://www.proteometools.org/index.php?id=52
- [x] PXD004732
- [ ] PXD006832
- [ ] PXD009449
- [x] PXD010595
- [ ] PXD005336
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I use my own dataset to train MUNIT(which is similar to the synthetic2cityscape), but the training process is very unstable. How can I make training procedure more stable?
some of the charts are look…