-
- Crypt
- Symmetric
- [ ] Crypt.Cipher.ChaCha20 #74
- [ ] Crypt.Cipher.Camellia #23
- MAC
- [ ] Crypt.MAC.Poly1305 #74
- Password
- [ ] Crypt.Password.scrypt #72
- […
-
From http://xoroshiro.di.unimi.it
> All generators, being based on linear recurrences, provide jump functions that make it possible to simulate any number of calls to the next-state function in co…
-
Our agents code has a problem. it lifts many things. e.g.
```julia
ids = @lift(abmplot_ids($model))
pos = @lift(abmplot_pos($model, $offset, $ids))
marker = @lift(abmplot_marker($model, …
-
Currently we use two random number generators: Mersenne Twister for Reference and CPU platforms, and KISS for CUDA and OpenCL. Those are fine generators, but they're no longer state of the art. We s…
-
Based on the dependency graph on it looks like `rand` provides access to `rand_chacha`. While, according to , `rand_chacha` is actually a private dependency of `rand`, and if you want access to the …
-
Hello, could you please update your example to Bevy0.6 ?
-
As several layers support complex types (e.g., Dense, Conv, Bilinear), I expected the same from MeanPool and AdaptiveMeanPool. Example below for MeanPool (copied and pasted from jupyterlab). I've e…
-
Hi everyone,
I have a problem with my code, in particulat while training the neural network, I've encountered a significant issue when attempting to replace a dense layer with other types of layers. …
-
At least it seems to be according to our tests. On windows some final number is missing. Maybe we can come back to the idea of saving only the seed and the number of invocations which would also reduc…
-
It seems like we can and maybe should do it. Likely most aren't using, rather the new default RNG automatically, for some years now.
I'm not sure it takes (much) space in the sysimage (and/or Ran…