-
Both of these throw an error:
```
fixedpoint(x -> 0.5*(2/x + x), [1.0]; autodiff=:true)
ERROR: TypeError: in keyword argument autodiff, expected Symbol, got a value of type Bool
fixedpoint(x -…
-
Hello!
Thanks for providing such a powerful library.
I am currently implementing some optimization algorithm that combine the gradient descent and BO.
And the code is written with pytorch, so, in…
-
See https://github.com/pytorch/pytorch/runs/3682832751. Relevant snippet:
```
======================================================================
ERROR [0.013s]: test_profiler (__main__.TestJi…
-
Is chumpy using Forward mode or Reverse mode automatic differentiation? A quick browse seems like forward mode...
-
Hi, I wanted to suggest adding a resource to the CRAN task view on mixed models. I've been developing a GLMM model fitting package for R (currently on CRAN as [glmmrBase v0.4.6](https://cran.rstudio.c…
-
Hi developers of Allegro,
I have two questions namely on the methodology behind allegro and it's applications:
1. In the Nature communications publication, the model's architecture is depicted […
-
@breandan Your project seems to be a true state of the art autodiff library! Facebook worked on bringing autodifferentiation to Kotlin last year: https://ai.facebook.com/blog/paving-the-way-for-softwa…
-
Hi,
as shown here https://discourse.julialang.org/t/chaostools-tangent-integrator-stiff-solvers/26464, the tangent_integrator errors, if one provides an algorithm, which uses ForwardDiff.jl to calcul…
-
**ODE Notebooks**
* Lotka-Volterra with manual gradients
* pymc3.ode: Shapes and benchmarking
* GSoC 2019: Introduction of pymc3.ode API
**URLS**
* [Notebook 1](https://www.pymc.io/projects/e…
-
I try to solve the following nonlinear Differential Equation/Boundary Value Problem:
y'''' + 4.0*y'''/x = 0
with the following boundary conditions
y(0) = y'(0) = 0 y''(1)=0 y'''(1)=1
in a pr…