v1.17.0

DiffEqFlux v1.17.0

Diff since v1.16.0

Closed issues:

• One dimensional universal approximators and tensor product basis (#173)
• ANODEV2 (#289)
• Neural ODE trains but throws an error when trying to show the result from Optim (#327)
• Augmented neural ODE on GPU errors out (#329)
• Compilation fails (#334)
• Neural Stochastic DiffEq example no longer working (#336)
• Neural DAE tutorial code not working (#337)

Merged pull requests:

• typos in documentation (#326) (@d-netto)
• CompatHelper: bump compat for "Optim" to "0.22" (#330) (@github-actions[bot])
• Tutorial (#331) (@d-netto)
• fix output statuses (#332) (@ChrisRackauckas)
• ANODE Example on GPU (#333) (@avik-pal)
• changes in tensor layer (#338) (@d-netto)
• Spline layer [WIP] (#339) (@d-netto)
• restructure layer docs (#341) (@ChrisRackauckas)

v1.16.0

DiffEqFlux v1.16.0

Diff since v1.15.0

Closed issues:

• Augmented neural ODEs (#288)

Merged pull requests:

• Augmented Neural DE (#316) (@avik-pal)
• add text to pde_constrained.md (#324) (@JeremyFongSP)
• Tensor Layer: documentation and optimization (#325) (@d-netto)

v1.15.0

DiffEqFlux v1.15.0

Diff since v1.14.0

Closed issues:

• Support for complex matrix ODEs (#74)

Merged pull requests:

• Tensor prod layer [WIP] (#313) (@d-netto)
• update requires for CUDA.jl (#323) (@ChrisRackauckas)

v1.14.0

DiffEqFlux v1.14.0

Diff since v1.13.0

Closed issues:

• Supervised NNODE Example Broken? (#318)

Merged pull requests:

• Use Float32s in ComponentArray example (#315) (@jonniedie)
• rename docs/src/examples markdown files (#317) (@JeremyFongSP)
• CompatHelper: bump compat for "Zygote" to "0.5" (#319) (@github-actions[bot])
• [WIP] Add pde constrained example (#320) (@JeremyFongSP)

v1.13.0

DiffEqFlux v1.13.0

Diff since v1.12.1

Closed issues:

• Continuous normalizing flows (#46)
• FFJORD (#47)
• Correct way to index into parameter vector? (#281)
• Library-tized FFJORD (#282)
• Use sciml_train for multiple initial conditions (#306)

Merged pull requests:

• Use JuliaGPU's GitLab CI setup (#284) (@christopher-dG)
• Correct toml/FFJORD (#291) (@d-netto)
• Some cleanup after FFJORD PR (#295) (@ChrisRackauckas)
• CompatHelper: add new compat entry for "Distributions" at version "0.23" (#296) (@github-actions[bot])
• CompatHelper: add new compat entry for "Zygote" at version "0.4" (#297) (@github-actions[bot])
• CompatHelper: bump compat for "Adapt" to "2.0" (#299) (@github-actions[bot])
• FFJORD for multivariate distributions (#302) (@d-netto)
• Update Neural ODE MNIST Example (#303) (@avik-pal)
• Added example with ComponentArrays (#304) (@jonniedie)
• FFJORD: docstrings and small change in loss function for multivariate gaussian test (#305) (@d-netto)
• Documentation (#307) (@d-netto)
• FFJORD: tutorial (#308) (@d-netto)
• Remove using OrdinaryDiffEq (#309) (@ChrisRackauckas)
• more FFJORD cleanup (#310) (@ChrisRackauckas)
• Fix in documentation/tutorial (#311) (@d-netto)
• Update ffjord.jl docstring typo (#314) (@Vaibhavdixit02)

v1.12.1

DiffEqFlux v1.12.1

Diff since v1.12.0

Closed issues:

• Implicit differential equation solver with internal autodiff of the Jacobian (#31)
• BSplines to approximate gradient of data (#75)
• Neural optimal control documentation (#174)
• README Stable docs links broken (#251)
• Indexing solution in loss function gives zero gradient with default sensealg (#259)
• RadauAII5 and typeassert issues in autodiff (#271)
• Error in LV-Univ example (#275)

Merged pull requests:

• add analytical tgrad for mass matrix methods (#224) (@ChrisRackauckas)
• Add mini batch docs (#267) (@collinwarner)
• add nested AD stiff tests and update docs (#274) (@ChrisRackauckas)
• Update docs (#277) (@mkg33)
• Update LICENSE (#280) (@ViralBShah)
• Add Documentation for LV-NN-Stiff.md (#285) (@JeremyFongSP)
• Fix for RecursiveArrayTools broadcast fix (#286) (@ChrisRackauckas)

v1.12.0

DiffEqFlux v1.12.0

Diff since v1.11.0

Merged pull requests:

• Remove concrete_solve (#273) (@ChrisRackauckas)

v1.11.0

DiffEqFlux v1.11.0

Diff since v1.10.3

Closed issues:

• Using reverse-mode autodiff with a second order ODE problem (#48)
• [Bug Report] Rosenbrock23 gives no method matching finite_difference_jacobian (#257)
• NewtonSecondOrderAdjoints code in document not working (#258)
• LV-Univ example code doesn't match intro text (#262)
• reconstruct_Foo instead of reconstruct NeuralODE (#264)

Merged pull requests:

• Second Order Neural ODEs (#254) (@ChrisRackauckas)
• [WIP] Add Documentation to MNIST example (#256) (@JeremyFongSP)
• Docs fix: remove parameter p from call of predict_rd (#260) (@metanoid)
• Update LV-delay.md to include training step (#261) (@metanoid)
• Delete nfe variable in code (#263) (@JeremyFongSP)
• Remove unused functor definitions (#265) (@ChrisRackauckas)
• Update layers.jl (#269) (@ChrisRackauckas)

v1.10.3

DiffEqFlux v1.10.3

Diff since v1.10.2

Merged pull requests:

• Doc typi (#247) (@jlperla)
• missing global in docs example (#248) (@dehann)
• fuse 2: refused (#252) (@ChrisRackauckas)

v1.10.2

DiffEqFlux v1.10.2

Diff since v1.10.1

Closed issues:

• FastChain adjoint definition is not compatible with acting on a matrix (#192)
• Outer vs Inner constructors style (#230)
• Google season of Docs (#237)
• FYI only - Interesting paper on "Differentiation of Blackbox Combinatorial Solvers" (#239)
• Neural ODE example with GPU does not work (#243)

Merged pull requests:

• make all inner constructors for consistency (#245) (@ChrisRackauckas)
• Fix adjoints with matrices and default neural ODEs to ZygoteVJP (#246) (@ChrisRackauckas)