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Going back to this thread:
https://discourse.julialang.org/t/diffeqflux-autodifferentiating-inside-loss-function/47203
I've been cannibalizing some code from NeuralPDE to perform numerical differe…
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I'd like to set a deadline on this. For better or for worse, we need to know soon whether it is viable to add the CV gradients to v0.1 of openqml. I'm going to set the date of **Aug 12** for this.
…
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I've been looking into the possibility of creating a PME implementation for custom forces, since several people have asked about that. It looks to me like that would be challenging at best, but perha…
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## Reversibility check
Due to the fact that floating pointing numbers are not exactly reversible, sometimes the invertibility check might fail due to the rounding error.
To fix this issue, you may…
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I'm solving for the MLE.
```julia
using Distributions, Random, Optim;
DGP_True = LogNormal(17,7);
Random.seed!(123);
const d_train = rand(DGP_True, 1_000)
const d_test = rand(DGP_True, 1_000)
…
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Hello,
This is really cool package for chem-kinetics. I wonder if there is way to create ideal-derivative (first order) from the **@reaction_network itself** as we do by plugging into the function as…
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Sorry to talk about the nodchip repository, not this repository.
I tried to add an option to use WDL in learning NNUE before,
but I gave up on it once because calculating the differentiation of the…
tttak updated
4 years ago
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Hello!
Is there a standard way to apply a vector-to-scalar function across a dimension of an array? Obviously using `the` and `generate` won't work, since it would introduce nested data parallelism. …
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Mental note for https://github.com/tfranzel/drf-spectacular/issues/27#issuecomment-625652702 ;-)