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Implement InfoNCE-style (e.g. NT-Xent from SimCLR) training objective for contrastive learning. This changes sampling strategy so it probably should be done with #123.
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I have used the pretrained model as provided in the google drive of the official repo. Based on the check point of the pre-trained model when I executed the infernce.py file, the generated samples qua…
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Hello,
I have a few Xenium samples and have encountered a plotting artifact when using the segmentation. This happens for all samples (cell numbers ranging from 4800 to over 125000, so quite a wid…
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I'm trying to infer samples from the training samples. While some have perfect retargeting, it seems to be exploding for some samples. The results are attached below. I'm using the same preprocessing …
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I am receiving these errors when I try to build anything, and I don't know how to fix it.
```
23:11:04 C:\dev\!tmp\WindowsAppSDK-Samples\Samples\Windowing\cs\cs-winforms-unpackaged main ≡ ?1
…
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https://github.com/webforj/webforj/pull/756
See also : https://github.com/webforj/webforj-docs/issues/261
hyyan updated
1 month ago
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```
static void subscriber_available_callback(dds_entity_t reader, void *arg)
{
#define MAXCOUNT 10
int samples_received;
void *samples[MAXCOUNT] = { nullptr };
dds_sample_info_t…
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### Description
I’m wondering if Polars for Python can offer an equivalent to the `rep_sample_n` function from the moderndive package in R. In moderndive, `rep_sample_n` allows you to take repeated r…
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I'm on the Azure DevOps docs team and we had a customer requesting Python samples. It looks like there are existing Python samples that could be adapted here - https://github.com/Azure-Samples/ms-iden…
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Focus on the following datasets collecting as many samples from diverse vendors as possible:
- INbreast (Done)
- DDSM (Done)
- VinDR (Pending)
- CSAW-CC (Pending)
Once setup, we should have a…