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I was wondering what the options are in terms of aggregating directory data across networks on a multi-network. Meaning can other multisite in the same multi-network display for example affiliated mem…
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## Issue Description ##
`get_user_settings_iface` is not an attribute of the `MultiUSRP` object in the Python API.
The user register key was provided in the address together with our cus…
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Moved to https://github.com/otosense/recode/issues/1
# ----------------------------------------
Previous (old) issue: https://github.com/i2mint/py2store/issues/40 on the subject.
We'll rest…
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### I raise this change request because...
- [ ] the ILCD+EPD format lacks compliance with regualtions.
- [ ] the ILCD+EPD format lacks conformaty with standards.
- [X] the ILCD+EPD format needs to b…
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I want to pretrain an LLM with 2T tokens using llm-foundry. But before training, the data processing time is too long. Is there any way to accelerate it?
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### Run Information
Name | Value
-- | --
Architecture | x64
OS | Windows 10.0.22621
Queue | Galaxy
Baseline | [b312812aa7abba8f8b82c6b0a70e912eb7ffe45d](https://github.com/dotnet/sdk/commi…
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I am working on sentence-transforner V3 and using multi-gpu, using this command:
`bash
accelerate launch --multi-gpu --num_processes=4 main.py
`
Here is the code:
```python
def main():
…
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Hello SCT friends,
has anything changed in Phillips data or GM segmentation process over database or SCT versions?
Since Friday, I have updated data-multi-subject and SCT to the latest versions an…
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Hi,
I have a multi-label dataset with extremely imbalanced classes, are there any developed methods in scikit-multilearn working well on this imbalanced data? thanks.
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When I export the data file for two UART devices, I'm finding some of the data is being dropped.