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Dear Patrick,
Thanks for this library, it's pretty neat!
I'm currently supervising a bachelor's students thesis on NeuralODEs, and we've been meaning to use `diffrax` to study delay differentia…
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[Here's an interesting discussion](https://youtu.be/6U3YCfPDylk).
The researchers manually generate a PDE system from their ABM. The system is large, so they get a massive speed up for a decent app…
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> ValueError: Reverse-mode differentiation does not work for lax.while_loop or lax.fori_loop with dynamic start/stop values. Try using lax.scan, or using fori_loop with static start/stop.
I would l…
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Translation of SEIR Example, based on Lotka Volterra 1:
Hiya, ok, here's the first...
- I can't get it to train only for dE, dI, dR the way the old example did, but seems like the way I did it sho…
ghost updated
4 months ago
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I am noticing that the training just stalls/stops at a certain epoch for some reason. No errors/explanation. Screenshot below. It got stuck at this epoch and has been here for the last 2 hours. I am n…
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https://discourse.julialang.org/t/what-does-the-maxiters-solver-option-do/37376/13
Environment details:
OS: Windows 10 x64
Julia Version : 1.6.0
Packages:
- DiffEqFlux v1.39.0
- DiffEqSensit…
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Hi, I wonder whether @save can save a gpu model weights properly. Here's a MWE (MWE.jl):
`using DifferentialEquations, Flux, DiffEqFlux, NPZ, Printf, CUDA
using BSON: @save, @load
CUDA.allowscala…
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It seems like we often have code like:
result_neuralode = DiffEqFlux.sciml_train(loss_neuralode, prob_neuralode.p,
ADAM(0.05), cb = callback,
…
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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. …
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Hello Patrick,
I recently tried to move from torch to jax/equinox (thanks a lot for your contributions both for diffrax and equinox) and i tried to adapt all my code written in torch to jax/equinox…