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Right now, this works ( very slow )
```julia
using DiffEqFlux, OrdinaryDiffEq, Flux, Optim, Plots
using DataDrivenDiffEq, ModelingToolkit
using Zygote
u0 = Float32[2.; 0.]
datasize = 30
ts…
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As the 2010’s draw to a close, it’s worth taking a look back at the monumental progress that has been made in Deep Learning in this decade.
Tags: deep_learning
via Pocket https://ift.tt/…
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Hello,
Thank you for the work on this very useful project!
I am running into an issue where I cannot use `ComponentArray`s with a function which mutates its `du`.
As a MWE, running [this exam…
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Hello. This is a similar issue with #167. I am having the same issue when trying to run it locally (RTX 3080, pytorch 1.9.0.dev20210505, torchdiffeq 0.2.1) with the ode_demo.py case. Works fine on a C…
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Especially for neural network system models, we need MX variables.
Switching should be implemented in e.g. the model creation.
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When using regularization, the training doesn't scale very well with the increase in batch size:
All the benchmarks use the models from [here](https://github.com/avik-pal/RegNeuralODE.jl/blob/maste…
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Hi!
I have the following model (not sure if it is an error but I have gotten similar models to work using DifferentialEquations.jl (bare bones) ):
```
using ModelingToolkit
using DiffEqBase
…
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I'm checking out notebook: Multistate_SurvNODE.ipynb at block 9, encountered an error:
```
---------------------------------------------------------------------------
RuntimeError …
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**Additional Description**
I have been using Neural ODEs recently for one particular deep learning task. In this task, I have to do 17 function evaluations, i.e. `s_span = torch.linspace(0, x, …
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this is classified as a muscle precursor, but Al says this is not the case:
[Term]
id: CL:0000594
name: skeletal muscle satellite cell
namespace: cell
def: "An elongated, spindle-shaped, quiescent my…