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Currently (in `netdx_updates`, which I assume will get merged into `main`), if we have zero edges of some dissolution dyad type on some time step in `netdx` or `netsim`, we set the mean age and dissol…
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Hi all,
we have situations where an ante-dependence covariance structure would be useful.
(See e.g. https://documentation.sas.com/doc/en/pgmsascdc/9.4_3.3/statug/statug_mixed_syntax14.htm which
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If the local conv (or "causal conv1d") is intended to shift the tokens by 1, then this should instead be `padding=d_conv` instead of `padding=d_conv - 1`, shouldn't it? (Or can the convolution kernel …
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Hi, are there any plans to train a tiny distilled Whisper model? It would be very interesting to see how fast it would go, as I'd like to use it in phones.
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I'm working on a bunch of forecasting problems where performative prediction feedback loops are a challenge. I'd like to create a forecasting problem simulator in whynot. Any ideas of where I could st…
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Hello folks,
I parsed all issues here and although we keep talking about data science, I didn't find proposals for machine learning either using R or Python.
Who is willing to co-start a series of m…
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**Describe the bug**
I am using VARIMA model from sktime package for time series forecasting. Input data has product informations at different levels. Goal is to do hirarchical time series forecast…
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If my understanding is correct this is finding the places where there is delimiter and filters for them. How does this help with training?
https://github.com/huggingface/pytorch-openai-transformer…
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Hi thank you for this interesting work!
The paper mentions that MAGPIE is a 2-stage pipeline (step1 is instruction generation and step2 is response generation). How is it different to the strategy wh…