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**Is your feature request related to a problem? Please describe.**
I am looking into implementing xTB for a VR platform I am developing. So far I have been using the C API, but there does not seem to…
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## Enhancement
Pytorch optimizers include a `maximize` flag ([Pytorch Issue](https://github.com/pytorch/pytorch/issues/68052))*. When set to `True`, the sign of gradients is flipped inside `optimiz…
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It would be convenient if [OptimizationState](https://docs.sciml.ai/Optimization/stable/API/optimization_state/#optstate) included a `searchdirection` and/or a step width. I can usually pull these qua…
goerz updated
6 months ago
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I have a real data example
[problemData.csv](https://github.com/user-attachments/files/15961103/problemData.csv)
which involves treatment(trt), location(loc) and replication(rep, a block nested wit…
xyzyc updated
4 months ago
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**My dataset was built based on a.csv file of my own. In the previous version, I could use model.train to train the model and could use cuda normally. But now I'm using the latest pykan0.2.4, where mo…
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**System information**
- OS Platform and Distribution: Linux NixOS unstable
- TensorFlow installed from : binary using anaconda
- TensorFlow version : '2.0.0-alpha0'
- TensorFlow Probability versi…
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As the title suggests, I am using Neural style with no previous Python or general coding experience. I have been following [https://www.youtube.com/watch?v=3AnXiDksblA](this) tutorial to try and proce…
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Consider the following scenario (shamelessly copied from TFP tutorial)
```
import numpy as np
import tensorflow as tf
import tensorflow_probability as tfp
np.random.seed(12345)
@tf.function
…
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I have been trying to find out how and when the code stores the image. I wanted to know if it's possible to store results, say,for every 100 iterations?
if yes, how can I do it?
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According to the [documentation](https://scikit-optimize.github.io/stable/modules/generated/skopt.gp_minimize.html#skopt.gp_minimize), setting `n_jobs` should set the number of cores which are used by…