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I am trying to get some predictions of protein-protein complexes.
As "positive" control, I use prediction for a complex for which the cryoEM structure was solved and published in second half of 2022.…
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Token indices sequence length is longer than the specified maximum sequence length for this model (2409 > 2048). Running this sequence through the model will result in indexing errors
I got this wa…
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- Fix random direction of vector produced by PCA method https://github.com/ggerganov/llama.cpp/pull/8069#issuecomment-2185328171 (cc @jukofyork)
- Performance: Using batch and multi-sequences (for `l…
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```Optimizing for sigma. Current sigma: 1.0
New sigma: 1.0 (took 32.67 s)
Traceback (most recent call last):
File "/home/fbr/src/fp_bench/./rfr.py", line 273, in
r2 = mlkrr_train_test_UCAP(…
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I've been reading through some of the other issues here trying to learn what I can about how this works, and the most helpful comments I have seen so far is to simply adjust LR for bad generations, an…
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I'm used to [EveryDream2](https://github.com/victorchall/EveryDream2trainer) trainer, which gives users the option to select a portion of images from a folder using a multiplier instead of a repeat co…
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Hi,
This works looks extremely interesting for a small hobby 3D scanner project I'm working on, but I can't get it to work. From the paper and the project site, the results look more promising than…
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Hi wangbm,
Thank you for your good work, it does me a favor!
I have a question as title, because I find that you train the three losses in a random mode.
Thanks again.
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I am working on a tricky classification problem that has unbalanced classes (10 to 1 ratio), with around 200,000 instances and approximately 10 features.
I managed to get reasonable performance using…
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Although other learning algorithms implemented in H2O already offer MCC metric, such as GLM, the MCC metric is not currently available for the deep learning algorithm in H2O. For highly unbalanced, e…