NeuralPDE.jl Versions Save

Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

v5.16.0

1 month ago

NeuralPDE v5.16.0

Diff since v5.15.0

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:

  • Neural Adaptor tests set as @test_broken (#513)
  • Multithreaded test suite (#706)
  • Add support for equations with complex numbers (#821)

v5.15.0

1 month ago

NeuralPDE v5.15.0

Diff since v5.14.0

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

2 months ago

NeuralPDE v5.14.0

Diff since v5.13.0

Merged pull requests:

  • docs: update and cleanup tutorials and examples (#815) (@sathvikbhagavan)

Closed issues:

  • Neural Adapter Documentation Example Not Working (#824)

v5.13.0

2 months ago

NeuralPDE v5.13.0

Diff since v5.12.0

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:

  • Deep learning methods for free-boundary PDEs (#19)
  • Deep Galerkin Method (#220)
  • DGM Tutorial fails (#827)

v5.12.0

2 months ago

NeuralPDE v5.12.0

Diff since v5.11.0

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:

  • NN ODE loss gets squared (#606)
  • Problem in replicating INVERSE PROBELM tutorial on ODE (#765)
  • Bump CUDA Compat (#810)

v5.11.0

3 months ago

NeuralPDE v5.11.0

Diff since v5.10.0

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:

  • Recreate the examples from the BINN paper with NNODE (#640)
  • Issue with NNStopping Example code (#680)
  • NeuralPDE v.5.9 stops QuasiMonteCarlo from updating (#748)
  • Parameter Estimation in NNODE (#766)

v5.10.0

3 months ago

NeuralPDE v5.10.0

Diff since v5.9.0

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

7 months ago

NeuralPDE v5.9.0

Diff since v5.8.0

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 of WeightedIntervalTraining to points and clean tstops_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

9 months ago

NeuralPDE v5.8.0

Diff since v5.7.0

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])

v5.7.0

11 months ago

NeuralPDE v5.7.0

Diff since v5.6.1

Closed issues:

  • Push nnode further (#46)
  • Treating states properly, second encounter (#605)

Merged pull requests:

  • Explored some new training strategies for large neural networks. (#635) (@sdesai1287)
  • added additional loss against data for NNODE (#666) (@AstitvaAggarwal)
  • Try domainsets v0.6 (#675) (@ChrisRackauckas)
  • Test new DiffEqBase (#676) (@ChrisRackauckas)
  • fix formatting (#677) (@ChrisRackauckas)