This repository has been archived by the owner on Sep 28, 2024. It is now read-only.
Releases: SciML/FluxNeuralOperators.jl
Releases · SciML/FluxNeuralOperators.jl
v0.3.2
NeuralOperators v0.3.2
Closed issues:
Merged pull requests:
- Implement Graph Neural Operator (GNO) (#54) (@yuehhua)
- Add reference page (#55) (@yuehhua)
- Implement l2 loss (#56) (@foldfelis)
- Revise training process (#57) (@foldfelis)
- Update comp (#60) (@foldfelis)
v0.3.1
NeuralOperators v0.3.1
Closed issues:
- Burgers example for DeepONet is not working (#49)
Merged pull requests:
v0.3.0
NeuralOperators v0.3.0
Closed issues:
- Separate out spectral transforms from operators for easy switching (#40)
Merged pull requests:
- Update compat (#44) (@foldfelis)
- Improving Type Inference on DeepONet (#45) (@Abhishek-1Bhatt)
- Separate out transforms from OperatorKernels (#46) (@foldfelis)
- Fix broken link for notebooks (#48) (@foldfelis)
v0.2.0
v0.1.5
NeuralOperators v0.1.5
Merged pull requests:
- implement example for super resolution with MNO (#24) (@foldfelis)
v0.1.4
NeuralOperators v0.1.4
v0.1.3
NeuralOperators v0.1.3
Merged pull requests:
- add double pendulum example and the docs (#23) (@foldfelis)
v0.1.2
NeuralOperators v0.1.2
Merged pull requests:
- permute weight dim to improve performance (#22) (@foldfelis)
v0.1.1
NeuralOperators v0.1.1
Closed issues:
- Implementation of Markov Neural Operators (#15)
Merged pull requests:
- Double Pendulum example (#17) (@foldfelis)
- Doc (#21) (@foldfelis)
v0.1.0
NeuralOperators v0.1.0
Closed issues:
- Migrate fourier_1d.py to julia (#1)
Merged pull requests:
- Implement 1-D Fourier Neural Operator (#2) (@foldfelis)
- seal complex type between
fft
andifft
(#4) (@foldfelis) - Refactor (#5) (@foldfelis)
- Example for Burger's equation (#6) (@foldfelis)
- support GPU (#7) (@foldfelis)
- Refactor (#8) (@foldfelis)
- extend SpectralConv to n-dim (#10) (@foldfelis)
- make padding type stable (#11) (@foldfelis)
- Doc (#12) (@foldfelis)
- Improve documentation and README (#13) (@yuehhua)
- Refactor SpectralConv (#14) (@yuehhua)
- Fix functor bug and build project for Burgers' equation (#16) (@foldfelis)