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Hi,
I am trying to use your package with the `from torchcfm.models.unet.unet import SuperResModel` and other custom models that have kwargs in their forward method, but I think that the NeuralODE.t…
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I am getting a lot of help from this project. Thank you! I have one question. Is the method for generating samples(ex images) with models trained using the FM framework the same as that of basic CFM a…
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Traceback (most recent call last):
File "/home/notebook/code/group/benny/modflows/./train_encoder_v2.py", line 124, in
trained_model.load_state_dict(trained_param)
File "/opt/conda/lib/pyt…
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Hi everyone. I am trying to implement the [Deep Bayesian Model Discovery ](https://docs.sciml.ai/Overview/stable/showcase/bayesian_neural_ode/)on the Lotka-Volterra model discussed in the [Automated D…
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```Julia
using OrdinaryDiffEq, Flux, Optim, Random, Plots
using DiffEqSensitivity
using Zygote
using ForwardDiff
using LinearAlgebra, Statistics
using ProgressBars, Printf
using Flux.Optimise: …
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When looking at the source code under /torchdyn/core/neuralde.py, I found that the NeuralODE class is missing defunc property. And this bug results in an error for /tutorials/module4-model/m4e_lagrang…
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Hi all, I've edited the introductory Neural ODE example to highlight a problem I'm facing with two-level optimisation: first (outer) level wrt the `model`, and second (inner) level wrt a parameter `al…
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## WIP PRs
- [ ] #665 -- Attempts to compile Lux models to XLA. While more generally scoped to allow models that cannot be compiled via Reactant, this is particularly hard because we need to give o…
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**Describe the bug**
Torchscript is unable to script the `NeuralODE` class due to a function being redefined. This is a problem because there is control flow present in the code that tracing would …
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I am using a combination of packages to use ANNs within coupled ordinary differential equations.
When coupling less than 20 ODEs everything runs smoothly, whereas for more than 20 ODEs i get A LOT…