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Hello,
I am looking where I can find the data that I could get at supervised analysis step with deepof.visuals.plot_enrichment() script, for example B_W_nose2nose data, in order to plot some graphs…
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Hi,
is it possible to train transformer in self-superised way? since I need to initiate TST with number of class which I dont have.
thank you
regards
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hi , thanks your great work
can you share with us
1. supervised learning or self-supervised learning?
2. how to prepare the data?
thank you
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Implement self supervised fine tuning on intern-xcomposer for the desktop
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Conflicting tests when evaluating `airflow/tests/providers/google/cloud/operators/vertex_ai/test_supervised_fine_tuning.py` and `airflow/tests/providers/google/cloud/hooks/vertex_ai/test…
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### Description of the feature request:
Increase character limitation in tuning jobs to take advantage of the Flash 1.5 1,000,000 token window.
### What problem are you trying to solve with this fe…
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(First, thanks Aaron for the development and maintenance of this awesome package!)
After reading this [preprint](https://www.biorxiv.org/content/early/2023/07/07/2023.07.07.548105.abstract), I was …
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Dear Authors,
We are conducting a study to evaluate Video Self-Supervised models holistically and would like to include your EVEREST model too. Can you please share the Kinetics-400 pretrained VIT-B …
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Implement the `DummyProbaRegressor` but with complete end to end support in `skpro`.
Some current limitations:
`fit` inside `DummyProbaRegressor` uses `skpro.distributions` which only supports …
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I just sketched out a supervised LDA step for some research that I would be happy to contribute. I think I'd need to do a little bit of plumbing re-routing, but the core bits are in place I believe. L…