Comments (2)
ChrisRackauckas
commented on July 21, 2024
@JuliaRegistrator register()
I put out a patch release where the number of iterations used in that test is increased. That should help make sure it converges. Let me know if this still happens!
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JuliaRegistrator
commented on July 21, 2024
Registration pull request created: JuliaRegistries/General/6720
After the above pull request is merged, it is recommended that a tag is created on this repository for the registered package version.
This will be done automatically if Julia TagBot is installed, or can be done manually through the github interface, or via:
git tag -a v1.0.2 -m "<description of version>" 3d905167616c817615aae706a93c09c104dd5d0e
git push origin v1.0.2
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Related Issues (20)
- Problem in replicating INVERSE PROBELM tutorial on ODE HOT 23
- Parameter Estimation in NNODE
- Parameter Estimation formulation in PINNs HOT 5
- Documentation for BayesianPINN and ahmc_bayesian_pinn_pde
- Encountering Precompilation Error Messages When Adding NeuralPDE Package in Julia HOT 3
- Distance functions as a description of complex geometries HOT 1
- Bump CUDA Compat HOT 1
- How can I solve complex-valued ordinary differential equations (ODEs) using neural networks, given limitations with complex data types in libraries like Lux? HOT 7
- Can't get the @named pde_system to work with a ode system HOT 4
- Add support for equations with complex numbers HOT 20
- Neural Adapter Documentation Example Not Working HOT 6
- DGM Tutorial fails HOT 2
- KeyError when solving Parameter Identification problem using NeuralPDE.jl HOT 9
- Linear parabolic example throws an error on new julia install HOT 2
- NeuralPDE slows when using old weights and biases on a new but related ode HOT 3
- NeuralPDE with LuxAMDGPU, Optimize.solve throws error
- GPU Compatibility Issue: Compilation Error with Complex-Valued Data in LuxCUDA Broadcasting Kernel HOT 8
- Tutorial: imposing constraint on PINN solution of Fokker Planck fails HOT 4
- The trial solutions to additional_loss function are different depending on parameters
- API PINO PDE HOT 5
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