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Hi,
we would like to use your network, but tweak the training data to match our data (high-resolution 7T) a bit more. Would you mind sharing the code you used to generate the training data?
Than…
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https://github.com/lk-geimfari/elizabeth/
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This afternoon I played around with synthetic data generation, after our discussion about it in today's meeting.
## Example
```python
from dask.distributed import Client
client = Client()
cli…
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Hi @ylabbe ,
I followed your script and tried to generate the synthetic data by running:
> python -m cosypose.scripts.run_dataset_recording --config ycbv --local
However, it showed me an err…
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Hello,
First of all, thank you for your interesting project. I am exploring the possibility of using Syntable to generate synthetic datasets for a domain different from the ones mentioned in the pa…
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Dear Dr. Han
I'm trying to implement choice model proposed in your paper "A Neural-embedded Choice Model: TasteNet-MNL Modeling Taste Heterogeneity with Flexibility and Interpretability", and stuck…
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At some point, we may want to try augmenting our training data with some synthetically generated data produced by applying some transformations to our existing training data.
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After a synthetic proof is generated, how is it used as training data? For example, if a synthetic proof has _N_ auxiliary constructions between the premise statement _si_ and the conclusion statement…
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I was trying to do "test generation" using RAGAS framework with the help of the "https://docs.ragas.io/en/stable/concepts/testset_generation.html", I'm facing error.
Please have a look on the belo…