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With efficient `fvp` and `ggnvp` #63 it might be nice to add the Hessian-free optimization algorithm of https://www.cs.toronto.edu/~jmartens/docs/Deep_HessianFree.pdf
This algorithm runs a short co…
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We can employ [hyperopt](https://github.com/hyperopt/hyperopt) or [nevergrad](https://github.com/facebookresearch/nevergrad) for optimized hyperparameter search. Grid Search should be considered as op…
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Hi!
I've implemented Conjugate Gradient for Lasagne, and @f0k asked me to put it online so that we can discuss how to integrate it to Lasagne:
https://gist.github.com/neosatrapahereje/b7427ab63dfc05…
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**Is your feature request related to a problem? Please describe.**
Currently, the README file is not clear about gradient-free optimization and why back-propagation isn't necessary in a gradient-free…
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### Description of the bug:
Hi,
when i using text_generator_main.cc to inference, i found the performance is slower ollama or other inference engine, Do you have any suggestion to tuning the mod…
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**Is your feature request related to a problem? Please describe.**
I'd like to get the gradients for every step during a geometry optimization
**Describe the solution you'd like**
`xtb input.xyz …
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Since the XGBoost 1.6, we have been working on having multi-output support for the tree model. In 2.0, we will have the initial implementation for the vector-leaf-based multi-output model. This issue …
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### Summary
Expand the function of parameter optimization in DMFF for dynamic properties, such as diffusion coefficient, viscosity, etc. This feature requests,
1. An efficient algorithm for eval…
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Prior to #77, the only checks for positive synaptic weights were in `_extract_drive_specs_from_hnn_params()` and have since been removed. We should add a function to drives.py that can be referenced b…