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  • v1.25.0   [Diff since v1.24.0](https://github.com/SciML/DiffEqFlux.jl/compare/v1.24.0...v1.25.0) **Closed issues:** - How to calculate loss in a given time budget? (#434) - dt <= dtmin Aborting. There is either an error in your model specification or the true solution. (#435) - DiffEqFlux Failed to Train with Error "type BinaryHeap has no filed comparer" (#441) **Merged pull requests:** - Add warning to sciml_train, add a dispatch of sciml_train to GalacticOptim and rename layer_sciml test file to galacticoptim (#424) (@Vaibhavdixit02) - Another strategy to avoid local minima (#431) (@ghost) - MassInstallAction: Install the TagBot workflow on this repository (#442) (@christopher-dG) - add an example with exogenous input (#444) (@ChrisRackauckas) - ready a release and see test results (#447) (@ChrisRackauckas)
    1122fb90 · Update Project.toml ·
  • v1.24.0   [Diff since v1.23.0](https://github.com/SciML/DiffEqFlux.jl/compare/v1.23.0...v1.24.0) **Closed issues:** - Training of UDEs with recurrent networks (#391) - Question regarding solution type (#418) - NEURAL ODE example with GPU not working (#419) **Merged pull requests:** - Work around missing matmul dispatch in CUDA.jl (#420) (@ChrisRackauckas) - Add GalacticOptim and update tests to use it (#421) (@Vaibhavdixit02) - CompatHelper: add new compat entry for "GalacticOptim" at version "0.2" (#423) (@github-actions[bot]) - update GalacticOptim calls (#428) (@ChrisRackauckas) - CompatHelper: bump compat for "Distributions" to "0.24" (#430) (@github-actions[bot])
    0a4cab54 · Update Project.toml ·
  • v1.23.0   [Diff since v1.22.0](https://github.com/SciML/DiffEqFlux.jl/compare/v1.22.0...v1.23.0) **Closed issues:** - FFJORD for batched data (#342) - derivative definition of ude (#360) - Optimizing over a neural network and a (time-independent) coefficient simultaneously (#409) - CNF layers very slow with moderately sized Neural Networks (#413) **Merged pull requests:** - MNIST example DataLoader syntax bugfix (#369) (@mbeltagy) - Update collocation.jl (#406) (@ChrisRackauckas) - Update TagBot.yml (#410) (@kanav99) - Batched Implementation for FFJORD (#415) (@avik-pal) - work around trace for neldermead (#416) (@ChrisRackauckas) - Reduce allocations in collocation (#417) (@baggepinnen)
    515e0fbe · Update Project.toml ·
  • v1.22.0   ## DiffEqFlux v1.22.0 [Diff since v1.21.0](https://github.com/SciML/DiffEqFlux.jl/compare/v1.21.0...v1.22.0) **Closed issues:** - DDE Example leads to " StackOverflowError:" (#396) - Differentiating with ReverseDiff fails on complex (#397) - Fail to compile (Julia 1.5.1) (#399) - sciml_train with Universal ODE fails on GPU (#400) **Merged pull requests:** - add hybrid example (#395) (@ChrisRackauckas) - Splat the MNIST Data for proper batching (#398) (@avik-pal) - Setup GPU tests to use CUDA (#404) (@ChrisRackauckas)
    4e0210b2 · Update Project.toml ·
  • v1.21.0   ## DiffEqFlux v1.21.0 [Diff since v1.20.0](https://github.com/SciML/DiffEqFlux.jl/compare/v1.20.0...v1.21.0) **Closed issues:** - Direct access of DESolution fields during Zygote differentiation (#321) - EnsembleGPUArray() fails (#381) - example notebook not working (#388) - Handling sol.u interface (#389) - KernelError: passing and using non-bitstype argument (#390) **Merged pull requests:** - CompatHelper: add new compat entry for "LoggingExtras" at version "0.4" (#392) (@github-actions[bot]) - CompatHelper: add new compat entry for "ConsoleProgressMonitor" at version "0.1" (#393) (@github-actions[bot]) - CompatHelper: add new compat entry for "TerminalLoggers" at version "0.1" (#394) (@github-actions[bot])
  • v1.20.0   ## DiffEqFlux v1.20.0 [Diff since v1.19.0](https://github.com/SciML/DiffEqFlux.jl/compare/v1.19.0...v1.20.0)
    ad45871e · Update Project.toml ·
  • v1.19.0   ## DiffEqFlux v1.19.0 [Diff since v1.18.0](https://github.com/SciML/DiffEqFlux.jl/compare/v1.18.0...v1.19.0) **Closed issues:** - HamiltonianProblem not supported (#53) - Hamiltonian Graph Networks with ODE Integrators (#80) - torchdiffeq comparison (#322) - Hamiltonian Neural Networks (#357) - Error on the "Optimization of Ordinary Differential Equations" Tutorial (#376) - ERROR: MethodError: no method matching -(::NTuple{29,Float64}) (#383) **Merged pull requests:** - Add support for Hamiltonian Neural Networks (#370) (@avik-pal) - Regularized ffjord [WIP] (#372) (@d-netto) - docs (#382) (@d-netto) - additional fixes in cnf documentation (#384) (@d-netto)
    b6e168a4 · Update Project.toml ·
  • v1.18.0   ## DiffEqFlux v1.18.0 [Diff since v1.17.0](https://github.com/SciML/DiffEqFlux.jl/compare/v1.17.0...v1.18.0) **Closed issues:** - Flesh out documentation (#244) - Multiple ODE solves from a single time series on GPU (#279) - Zygote.gradient doesn't work with basic `solve` example (#344) - Is it possible to learn neuralode for stiff problem of Robertson's problem? (#367) - More pictures (#375) **Merged pull requests:** - spline: more tests (#345) (@d-netto) - Spline docs (#348) (@d-netto) - Finish GDE PR (#355) (@ChrisRackauckas) - Use travis_wait (#356) (@christopher-dG) - add smoothed collocation fitting (#359) (@ChrisRackauckas) - change in ffjord tests (#361) (@d-netto) - Update ffjord.jl (#363) (@nirmal-suthar) - revised minibatch docs (#365) (@collinwarner) - CompatHelper: add new compat entry for "MLDataUtils" at version "0.5" (#366) (@github-actions[bot]) - Require Zygote 0.5 (#373) (@ChrisRackauckas) - test the fixed ensemble parallelism (#374) (@ChrisRackauckas)
    ed92e198 · Update Project.toml ·
  • v1.17.0   ## DiffEqFlux v1.17.0 [Diff since v1.16.0](https://github.com/SciML/DiffEqFlux.jl/compare/v1.16.0...v1.17.0) **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)
    3cfc2ec2 · Update Project.toml ·
  • v1.16.0   ## DiffEqFlux v1.16.0 [Diff since v1.15.0](https://github.com/SciML/DiffEqFlux.jl/compare/v1.15.0...v1.16.0) **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)
    0ee53419 · Update Project.toml ·
  • v1.15.0   ## DiffEqFlux v1.15.0 [Diff since v1.14.0](https://github.com/SciML/DiffEqFlux.jl/compare/v1.14.0...v1.15.0) **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)
    f7a0b256 · Update Project.toml ·
  • v1.14.0   ## DiffEqFlux v1.14.0 [Diff since v1.13.0](https://github.com/SciML/DiffEqFlux.jl/compare/v1.13.0...v1.14.0) **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)
    7bb4cc5c · Update Project.toml ·
  • v1.13.0   ## DiffEqFlux v1.13.0 [Diff since v1.12.1](https://github.com/SciML/DiffEqFlux.jl/compare/v1.12.1...v1.13.0) **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)
    ad621190 · Update Project.toml ·
  • v1.12.1   ## DiffEqFlux v1.12.1 [Diff since v1.12.0](https://github.com/SciML/DiffEqFlux.jl/compare/v1.12.0...v1.12.1) **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)
    ead315b1 · Update Project.toml ·
  • v1.12.0   ## DiffEqFlux v1.12.0 [Diff since v1.11.0](https://github.com/SciML/DiffEqFlux.jl/compare/v1.11.0...v1.12.0) **Merged pull requests:** - Remove concrete_solve (#273) (@ChrisRackauckas)
    3fa3841f · Update Project.toml ·
    Release v1.12.0

    DiffEqFlux v1.12.0

    Diff since v1.11.0

    Merged pull requests:

  • v1.11.0   ## DiffEqFlux v1.11.0 [Diff since v1.10.3](https://github.com/SciML/DiffEqFlux.jl/compare/v1.10.3...v1.11.0) **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)
    fffe53ed · Update Project.toml ·
    Release 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](https://github.com/SciML/DiffEqFlux.jl/compare/v1.10.2...v1.10.3) **Merged pull requests:** - Doc typi (#247) (@jlperla) - missing global in docs example (#248) (@dehann) - fuse 2: refused (#252) (@ChrisRackauckas)
    3977c5df · Update Project.toml ·
    Release 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](https://github.com/SciML/DiffEqFlux.jl/compare/v1.10.1...v1.10.2) **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)
    cd829dc9 · Update Project.toml ·
    Release 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)
  • v1.10.1   ## DiffEqFlux v1.10.1 [Diff since v1.10.0](https://github.com/SciML/DiffEqFlux.jl/compare/v1.10.0...v1.10.1) **Merged pull requests:** - fix default adjoints for GPU (#240) (@ChrisRackauckas) - Add GPU-based MNIST example to the docs (#242) (@ChrisRackauckas)
    Release v1.10.1

    DiffEqFlux v1.10.1

    Diff since v1.10.0

    Merged pull requests:

  • v1.10.0   ## DiffEqFlux v1.10.0 [Diff since v1.9.0](https://github.com/SciML/DiffEqFlux.jl/compare/v1.9.0...v1.10.0) **Closed issues:** - Gradients w.r.t. scalar indexing of a DiffEqArray (#160) - Store and return the current best loss from sciml_train on Flux.jl optimizers (#170) - Broadcasting problem in Zygote.gradient with FastChain() (#171) - Issue with batch training of NeuralODE with signals as inputs (#225) - Docstrings and documentation for fast layers (#231) **Merged pull requests:** - Utilize view strided fixes (#152) (@ChrisRackauckas) - CompatHelper: bump compat for "Optim" to "0.21" (#222) (@github-actions[bot]) - Documenter (#228) (@Emmanuel-R8) - gigantic doc update (#232) (@ChrisRackauckas) - Deploy Docs (#233) (@kanav99) - Add MLSL global optimization (#234) (@AStupidBear) - Gigantic documentation update 2 (#235) (@ChrisRackauckas)
    9997ca85 · release ·
    Release v1.10.0

    DiffEqFlux v1.10.0

    Diff since v1.9.0

    Closed issues:

    • Gradients w.r.t. scalar indexing of a DiffEqArray (#160)
    • Store and return the current best loss from sciml_train on Flux.jl optimizers (#170)
    • Broadcasting problem in Zygote.gradient with FastChain() (#171)
    • Issue with batch training of NeuralODE with signals as inputs (#225)
    • Docstrings and documentation for fast layers (#231)

    Merged pull requests: