Releases: SciML/NeuralPDE.jl
Releases · SciML/NeuralPDE.jl
v5.17.0
NeuralPDE v5.17.0
Merged pull requests:
- build(deps): bump crate-ci/typos from 1.19.0 to 1.20.4 (#847) (@dependabot[bot])
- build(deps): bump crate-ci/typos from 1.20.4 to 1.20.8 (#848) (@dependabot[bot])
- Docstring typo fixes (#849) (@lanceXwq)
- build(deps): bump crate-ci/typos from 1.20.8 to 1.20.9 (#850) (@dependabot[bot])
- build(deps): bump crate-ci/typos from 1.20.9 to 1.20.10 (#851) (@dependabot[bot])
- build(deps): bump crate-ci/typos from 1.20.10 to 1.21.0 (#852) (@dependabot[bot])
- Better BPINN ode Solver (#853) (@AstitvaAggarwal)
- CompatHelper: bump compat for OptimizationOptimJL to 0.3 for package docs, (keep existing compat) (#856) (@github-actions[bot])
- CompatHelper: bump compat for SymbolicUtils to 2, (keep existing compat) (#858) (@github-actions[bot])
- build(deps): bump crate-ci/typos from 1.21.0 to 1.22.0 (#859) (@dependabot[bot])
- build(deps): bump crate-ci/typos from 1.22.0 to 1.22.3 (#863) (@dependabot[bot])
- build(deps): bump crate-ci/typos from 1.22.3 to 1.22.7 (#865) (@dependabot[bot])
- build(deps): bump crate-ci/typos from 1.22.7 to 1.22.9 (#868) (@dependabot[bot])
- chore: fix typos (#869) (@sathvikbhagavan)
- build: ignore patch versions of typos gha in dependabot (#870) (@sathvikbhagavan)
- fix: checking complex type in the parameters of nn (#872) (@sathvikbhagavan)
- build(deps): bump crate-ci/typos from 1.22.9 to 1.23.1 (#873) (@dependabot[bot])
- CompatHelper: bump compat for SymbolicUtils to 3, (keep existing compat) (#878) (@github-actions[bot])
- ci: standardize workflows using SciML's reusable workflows (#879) (@thazhemadam)
- CompatHelper: bump compat for Symbolics to 6, (keep existing compat) (#880) (@github-actions[bot])
- refactor: trigger build with latest Lux (#882) (@avik-pal)
- build(deps): bump crate-ci/typos from 1.23.1 to 1.24.1 (#884) (@dependabot[bot])
- CompatHelper: bump compat for Optimization to 4, (keep existing compat) (#888) (@github-actions[bot])
- CompatHelper: bump compat for Optimization to 4 for package docs, (keep existing compat) (#889) (@github-actions[bot])
- CompatHelper: bump compat for OptimizationOptimisers to 0.3, (keep existing compat) (#890) (@github-actions[bot])
- CompatHelper: bump compat for OptimizationOptimisers to 0.3 for package docs, (keep existing compat) (#891) (@github-actions[bot])
- CompatHelper: bump compat for OptimizationOptimJL to 0.4 for package docs, (keep existing compat) (#892) (@github-actions[bot])
- build(deps): bump crate-ci/typos from 1.24.1 to 1.25.0 (#896) (@dependabot[bot])
- build(deps): bump crate-ci/typos from 1.25.0 to 1.26.0 (#899) (@dependabot[bot])
- refactor: remove NeuralPDELogging in-favor of extension (#901) (@avik-pal)
- ci: try taming down CI timings (#903) (@avik-pal)
- ci: test with
1
,lts
andpre
versions of julia (#904) (@thazhemadam)
Closed issues:
v5.16.0
NeuralPDE v5.16.0
Merged pull requests:
- chore: format the whole repo (#841) (@sathvikbhagavan)
- build(deps): bump julia-actions/setup-julia from 1 to 2 (#843) (@dependabot[bot])
- ci: add NNODE, NeuralAdapter, IntegroDiff in GHA from buildkite to have them in Downgrade CI (#845) (@sathvikbhagavan)
- Tag the original solution to sol.original and simplify dependencies (#846) (@ChrisRackauckas)
Closed issues:
v5.15.0
NeuralPDE v5.15.0
Merged pull requests:
- build: bump mtk to v9 (#828) (@sathvikbhagavan)
- ci: add Downgrade CI (#831) (@sathvikbhagavan)
- docs: fix rendering (#832) (@sathvikbhagavan)
- refactor: correctly lower quadrature training strategy in NNODE (#836) (@sathvikbhagavan)
- feat: allow complex for NNODE (#839) (@sathvikbhagavan)
Closed issues:
- Allow batching with QuadratureStrategy in NNODE (#555)
v5.14.0
NeuralPDE v5.14.0
Merged pull requests:
- docs: update and cleanup tutorials and examples (#815) (@sathvikbhagavan)
Closed issues:
- Neural Adapter Documentation Example Not Working (#824)
v5.13.0
NeuralPDE v5.13.0
Merged pull requests:
- build(deps): bump codecov/codecov-action from 3 to 4 (#800) (@dependabot[bot])
- add Deep Galerkin method (#802) (@ayushinav)
- fix: bounds of variables in neural adapter setup (#812) (@sathvikbhagavan)
- CompatHelper: bump compat for DomainSets to 0.7, (keep existing compat) (#813) (@github-actions[bot])
- CompatHelper: bump compat for DomainSets to 0.7 for package docs, (keep existing compat) (#814) (@github-actions[bot])
- ci: explicitly specify token for codecov (#819) (@sathvikbhagavan)
- refactor: use latest API for IntegralProblem (#822) (@sathvikbhagavan)
- build(deps): bump crate-ci/typos from 1.18.2 to 1.19.0 (#823) (@dependabot[bot])
- chore: format docstrings of DGM to make it consistent with others (#825) (@sathvikbhagavan)
- reducing test times for DGM (#826) (@ayushinav)
Closed issues:
v5.12.0
NeuralPDE v5.12.0
Merged pull requests:
- Bump AdvancedHMC (#804) (@ChrisRackauckas)
- build(deps): bump crate-ci/typos from 1.18.0 to 1.18.2 (#805) (@dependabot[bot])
- fix: tstops loss in NNODE (#807) (@sathvikbhagavan)
- refactor: loss functions for NNODE (#808) (@sathvikbhagavan)
- build: bump Optimization packages and use only latest versions for all (#809) (@sathvikbhagavan)
Closed issues:
v5.11.0
NeuralPDE v5.11.0
Merged pull requests:
- Bump actions/cache from 3 to 4 (#787) (@dependabot[bot])
- Remove duplicated methods in BPINN as it causes methods overwrite (#788) (@sathvikbhagavan)
- Remove Flux Support (#789) (@sathvikbhagavan)
- DAE problem (#790) (@KirillZubov)
- feat: add Parameter estimation capability in NNODE (#795) (@sathvikbhagavan)
- Add QA (#796) (@sathvikbhagavan)
- ci: add spell check workflow (#797) (@sathvikbhagavan)
- build(deps): bump crate-ci/typos from 1.17.0 to 1.18.0 (#801) (@dependabot[bot])
Closed issues:
v5.10.0
NeuralPDE v5.10.0
Merged pull requests:
- Docs modifications to use QuadratureTraining instead of GridTraining (#729) (@sdesai1287)
- Documenter 1.0 upgrade (#739) (@ArnoStrouwen)
- changes from final reviews, improved Docs (#741) (@AstitvaAggarwal)
- Remove v1.6 from CI (#743) (@ChrisRackauckas)
- BPINN PDE solver (#745) (@AstitvaAggarwal)
- ci: run Documentation builds on buildkite instead of GHA (#750) (@thazhemadam)
- build: make optim version >= 1.7.8 (#753) (@sathvikbhagavan)
- ci(buildkite): fix GPU tests not being run on Buildkite (#756) (@thazhemadam)
- Refactor/cleanup ode tutorials (#757) (@sathvikbhagavan)
- BNNODE bug fix, faster MvNormal pdf definition (#760) (@AstitvaAggarwal)
- Fix typo "simultaniously" -> "simultaneously" (#763) (@brollb)
- CompatHelper: add new compat entry for Statistics at version 1, (keep existing compat) (#764) (@github-actions[bot])
- Change typeof(x) <: y to x isa y (#767) (@pepijndevos)
- Fix ODE tutorial link (#771) (@bowenszhu)
- CompatHelper: bump compat for Adapt to 4, (keep existing compat) (#775) (@github-actions[bot])
- version 1.9 to dodge compat bump bandwagon (#776) (@AstitvaAggarwal)
- BPINN solver Docs(Manual and tutorial) (#781) (@AstitvaAggarwal)
- build: compat bumps to latest versions (#783) (@sathvikbhagavan)
- build: remove
>=
for Optim compat. (#786) (@sathvikbhagavan)
Closed issues:
- Migrate functionality to HighDimPDE.jl (#514)
- NNODE fails on simple logistic curve (#634)
- Bayesian Inference for PDE PINN solver (#712)
- fix NUTS kwargs handling and Default ode params vector (#737)
- BNNODE dosent support Lux chains Initparams, supporting fix for PR #749 (#759)
- Documentation for BayesianPINN and ahmc_bayesian_pinn_pde (#779)
- Encountering Precompilation Error Messages When Adding NeuralPDE Package in Julia (#780)
v5.9.0
NeuralPDE v5.9.0
Merged pull requests:
- [WIP] Bayesian PINN solver for ODE (#692) (@AstitvaAggarwal)
- Fix ODEs system and add test (#714) (@KirillZubov)
- CompatHelper: add new compat entry for Functors at version 0.4, (keep existing compat) (#715) (@github-actions[bot])
- CompatHelper: add new compat entry for MCMCChains at version 6, (keep existing compat) (#716) (@github-actions[bot])
- CompatHelper: add new compat entry for LogDensityProblems at version 2, (keep existing compat) (#717) (@github-actions[bot])
- CompatHelper: add new compat entry for AdvancedHMC at version 0.5, (keep existing compat) (#718) (@github-actions[bot])
- Incorporating given points into training (#723) (@sdesai1287)
- [WIP] API for BNNODE (#724) (@AstitvaAggarwal)
- CompatHelper: bump compat for Optimisers to 0.3, (keep existing compat) (#726) (@github-actions[bot])
- Rename
samples
field ofWeightedIntervalTraining
topoints
and cleantstops_loss
logic (#727) (@sathvikbhagavan) - Bump actions/checkout from 3 to 4 (#730) (@dependabot[bot])
- CompatHelper: bump compat for ComponentArrays to 0.15, (keep existing compat) (#732) (@github-actions[bot])
- CompatHelper: add new compat entry for MonteCarloMeasurements at version 1, (keep existing compat) (#736) (@github-actions[bot])
- CompatHelper: bump compat for SciMLBase to 2, (keep existing compat) (#738) (@github-actions[bot])
Closed issues:
- Have a training strategy for PreDefined Points (#644)
- Bayesian Inference for NNODE (#682)
- Type issue in Julia v1.9 (#696)
- Adaptive reweighting or modify neural network to solve complex system. (#708)
- Issued with sin and cos function after update version of NeuralPDE (#710)
- API for BNNODE. (#719)
- one-dimensional heat equation (#720)
v5.8.0
NeuralPDE v5.8.0
Closed issues:
- Parameters estimation using NeuralPDE.jl is not working for PDEs (#681)
- Demo not running (#690)
- Parameters estimation using NeuralPDE.jl is not working for PDEs (#694)
- Failed to precompile NeuralPDE (#698)
- Precompilation warning (#709)
Merged pull requests:
- CompatHelper: bump compat for ComponentArrays to 0.14, (keep existing compat) (#699) (@github-actions[bot])
- CompatHelper: bump compat for Flux to 0.14, (keep existing compat) (#700) (@github-actions[bot])
- CompatHelper: bump compat for Flux to 0.14 for package docs, (keep existing compat) (#701) (@github-actions[bot])
- CompatHelper: bump compat for Lux to 0.5, (keep existing compat) (#704) (@github-actions[bot])
- CompatHelper: bump compat for Lux to 0.5 for package docs, (keep existing compat) (#705) (@github-actions[bot])