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I'm excited about the OmniGen project and its potential for unified image generation. I was wondering if you could provide an estimated timeline for the model release?
Specifically, I'd love to kno…
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Its been working fantastic till last week in colab.
# !pip install fastcoref==2.1.5 -q
!pip install fastcoref==1.6.0 -q
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 474.3/474.3 kB 8.1 MB/s eta …
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I have been using the package as a way to use more general fasttext features as it seems that the [build from the official version doesn't work](https://github.com/facebookresearch/fastText/issues/131…
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I have trouble including multiple endpoints, identified by `dvid `data item, when using linCmt(). If ODEs are used, then there is no trouble. The issue is not urgent since the ODE workaround exists, …
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Hello,
I'm working on a multi-classification model and the result looks good. But when I train the model after using model.prune(), train_loss and test_loss become NaN easily even if I set lr and ste…
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Hi,
Amazing work on single image to 3D! I'm wondering if there is an ETA on the training code release. I really like to build on this work to explore some techniques to further improve the model :)
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I was wondering if you could provide further explanation of the calculation for the cutoff values generated for the ensemble models. I saw the explanation in a previous issue for the calculation of th…
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In my experience, fitting with the `LaserFlop` model is significantly less robust than most other models in ionics-fits. I've found that this is the case even for data that should be "easy" to fit, su…
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Hi,
This tech looks very promising. Wanted to check on the ETA for model & Checkpoints.
Thanks
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### Problem Description
For a Drude-Lorentz bath, the `HEOMSolver` can take `DrudeLorentzBath` (Matsubara decomposition) or `DrudeLorentzPadeBath` (Padé decomposition). A shifted Drude-Lorentz bath […