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Hi,
input_tensor = C.input_variable(10)
model = Dense(100, init=C.truncated_normal(0.075, seed=7), name='layer1')(input_tensor)
this give me an error. Only truncated normal have this issue, oth…
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Feel free to rename the issue to be more informative, I don't really understand what's going on here.
MWE:
```julia
julia> import Enzyme; using Distributions
julia> func = x -> logpdf(reshape(produc…
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## Current Behaviour
When trying to fit a binned truncated PDF, the execution throws an error for `IllegalInGraphModeError`.
Here is a minimal code example:
```
import zfit
import numpy as n…
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When I make a link in Zim to a folder with a normal name, everything is fine.
When I make a link in Zim to a folder whose name starts with "0_", then:
- the menu, called by the right mouse butto…
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### Package
@carbon/react
### Browser
Chrome
### Operating System
MacOS
### Package version
https://react.carbondesignsystem.com/?path=/story/components-tabs--contained
### Rea…
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`jax.random.truncated_normal` produces deeply wrong results when you set the lower bound too high or the upper bound too low. For example,
```python
jax.random.truncated_normal(
jax.random.PRNG…
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I'm wondering if a model like the one I present below is possible? The basic problem is one where the state isn't a single distribution, but a collection of distributions, which all evolve in a Markov…
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https://github.com/TRANTANKHOA/Matlab/blob/eb13ec3698adcdb4c1a1a4e97396ecb955308b07/Misc/truncated_Gaussian/Botev_2016/tregress.m
https://en.wikipedia.org/wiki/Truncated_normal_distribution
http…
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(this issue is somewhat related to #2308)
I'm trying to save models on the disk and, in a new session, loading and using them.
Here's an MWE, starting with making and saving a model:
```jl
u…
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The exponential growth distribution is equivalent to [exponentially tilting](https://en.wikipedia.org/wiki/Exponential_tilting) the $\mathcal{U}(0,1)$ distribution. In general for abs. cont. distribut…