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Hi,
Thank you for maintaining this great package. I noticed that in your code, you calculate the mean and variance of the prior distribution of z, i.e., p(z|c,u) by the posterior rather than the pr…
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From a comment by @shenyileirob in #21:
> Note also that `/c` and `/c''` are in perfect complementary distribution, with `/c` for non-reflexive verbs and `/c''` for reflexive verbs
This is proba…
bzaar updated
2 months ago
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Hello.
I'm not sure how to go about building this project from source. I see there have been a number of updates to the code fairly recently, and the version number is now 0.15.0.
If I grab th…
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Hello, your work is great! Looking forward to your release code, learn from you! Thanks!
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Discussion with @benHeid on probability calibration indicates that we may like to have another special category of transformations: distribution-to-distribution, possibly with a secondary input being …
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After running configure-tftpsync.sh to set up proxies in the cobbler configuration, running cobbler sync fails to replicate the tftp data to the proxies.
While it says the task completes
```
# c…
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As expressed in the paper, after passing the patch embeddings through ViT and a decoder D, we get some feature vectors (each patch is a vector). What confuses me is the online quantizer h() [78] menti…
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I think the language here is too broad:
https://github.com/OpenChain-Project/Reference-Material/blob/175a79e30e86e53651a0e7b1b7d421e6a5486cd1/Adoption-Preparation/Model-Provisions/openchain-standar…
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## 🎉🎉 We are happy to announce our [RoSctober 2024](https://www.reddit.com/r/RaceOfSloth/comments/1fsxyf1/get_ready_for_rosctober_fest/) winners! 🎉🎉
## Summary
- **Total Eligible Users**: 16
- **Tota…
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Hi! I'm a big fan of the boilerplate code used to wrap `xarray` into a JAX-compatible entity -- I think this could have wider usage were it more well-known, especially for this kind of deep learning +…