Tianbai Xiao

Results 10 issues of Tianbai Xiao

Say solving the advection equation with periodic boundary condition ```latex u_t+u_x=0, u(0,x)=sin(2πx), u(t,0)=u(t,1) ``` The following code works well ```julia using NeuralPDE, ModelingToolkit, Plots, Flux, DiffEqFlux, GalacticOptim, Optim using ModelingToolkit:...

documentation

Hi, I noticed that 2D nufft’s of types I-I and II-II are mentioned in the [discourse](https://discourse.julialang.org/t/nonuniform-fast-fourier-transforms/4858/2) in 2017. As I looked at the code, it seems that the interface of...

The [Python decorator part](https://docs.exaloop.io/codon/interoperability/decorator) mentions the codon library can be installed via pip install. The example only shows a workaround on macOS via `python3 -m pip install codon-0.13.0-cp39-cp39-macosx_12_0_arm64.whl` It doesn't...

The `computeTensorizedSP` seems to drop entries less than `1E-10`, This is not very reasonable when using Float64 and can cause weird behaviors when making use of tensor products. ### MWE...

Hi Bagge, I tried to use Zygote.jl with BFGS in Optim.jl, and the simplified codes write as push!(LOAD_PATH, "./FluxOptTools.jl/src/") # from FluxOptTools.jl on GitHub using Flux, FluxOptTools, Zygote, Optim, Random...

The assignment operation, i.e., ```c xt::jltensor test(xt::jltensor u) { xt::jltensor f = u; return f; } ``` cannot be performed in-place through ```c void test(xt::jltensor f, xt::jltensor u) { f...

First thanks for creating this package! It works perfectly most of the time, but I found a problem in identifying decorators for functions. An illustrative example would be like ```python...

Hi @kaipartmann We're working on the thermo-mechanical coupling model. A script from scratch is here (https://github.com/vavrines/KitPD.jl/blob/main/couple/script.jl). We're just about to clean and refactor the codes. The idea is to reuse...

enhancement

Hi @gdalle I'm having problems trying to do nested jacobian calculations. This might be related to https://github.com/gdalle/DifferentiationInterface.jl/issues/345 MWE: ```julia using DifferentiationInterface, Enzyme, LinearAlgebra const DI = DifferentiationInterface X = rand(Float32,...

bug
backend

**Describe the bug 🐞** Removing some activation functions in the DeepONet model will cause training errors. **Minimal Reproducible Example 👇** Working version: ```julia using Optimization, Optimisers, OptimizationOptimisers using Lux, NeuralOperators,...

bug