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Currently each model that needs it defines their own losses, it might be useful to put them all in one place to see if anything could be re-used in the future.
In particular, losses are defined in,…
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With all the new Multi-Objective Optimization Algorithms coming out, I was wondering if it would be possible to implement one in OpenMC.
This would almost be synonymous with the `search_for_keff` …
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rlouf updated
3 months ago
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This issue is to maintain all features request on one page.
Note to **contributors**: If you want to work for a requested feature, re-open the linked issue. Everyone is welcome to work on any of the …
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Hello, what's the current roadmap for jaxopt migration into optax? Will the scope of jaxopt be maintained, or will a trimming/expansion of features happen?
EDIT 27 October, 2024:
Dear all, based…
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It was pointed out in the IRIS-HEP analysis systems meeting today that it would be good to compile a list of operations in HEP workflows that are not normally differentiable, e.g. cutting and histogra…
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Hi all,
I want to use EBM as a GAM to replace the fully connected layer at the end of a large CNN/Transformer to get interpretable output. However, I need to train the EBM like a deep learning model,…
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At the moment we use lbfgs_b from scipy as the default optimizer in GPflow.
Particularly with #185 and using float32 and float64 we have some anecdotal evidence that lbfgs_b is aggressively finding …
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### 🚀 The feature, motivation and pitch
Despite not being explicitly documented, [`torch.triangular_solve`](https://pytorch.org/docs/stable/generated/torch.triangular_solve.html) appears to support…
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Is there any interest in adding a quasi-Newton based optimizer? I was thinking of porting over:
https://github.com/tensorflow/probability/blob/master/tensorflow_probability/python/optimizer/bfgs.py…