v1.51.2

DiffEqFlux v1.51.2

Diff since v1.51.1

v1.51.1

DiffEqFlux v1.51.1

Diff since v1.51.0

v1.51.0

DiffEqFlux v1.51.0

Diff since v1.50.0

Closed issues:

• Neural Graph Differential Equations example not working (#684)
• Incorrect use Lux.ActivationFunction (#737)

Merged pull requests:

• add cnf to the sidebar (#734) (@ChrisRackauckas)
• Neural SDE tutorial (#735) (@ChrisRackauckas)
• neural_sde example in Flux (#738) (@Abhishek-1Bhatt)
• Fix latex typos in Hamiltonian Neural Network Tutorial (#741) (@Algopaul)
• Lux.ActivationFunction not required (#742) (@Abhishek-1Bhatt)
• update to SciMLSensitivity (#743) (@ChrisRackauckas)

v1.50.0

DiffEqFlux v1.50.0

Diff since v1.49.1

Closed issues:

• Add doctests (#566)
• Missing normalizing flows example (#726)
• NeuralODE is not a subtype of Lux.AbstractExplicitLayer (#728)
• Neural ODE example is not working correctly (#731)

Merged pull requests:

• Enable doctesting (#721) (@ChrisRackauckas)
• minor fixes (#729) (@Abhishek-1Bhatt)
• just remove staticdudt tests (#730) (@ChrisRackauckas)

v1.49.1

DiffEqFlux v1.49.1

Diff since v1.49.0

Closed issues:

• NeuralDSDE Adjoint Fails on GPU (#138)
• Which types work as container of parameters? (#178)
• NeuralODE: modeling dynamics of system with (discontinuous) control inputs (#190)
• Nested reverse modes with fast layers (#207)
• BFGS Errors with GPU (#238)
• BoundsError: attempt to access () at index [0] (#253)
• Code in LV-Jump.md blog post no longer runs (#272)
• Reproducible TypeError in sciml_train (#278)
• Why the need for Fast* layers? (#328)
• Rename DiffEqFlux? (#354)
• The MNIST Neural ODE Classifier tutorial is broken (#368)
• sciml_train crashes when fed Fluxs ::Params type (#379)
• Neural Graph Differential Equation tests disabled (#405)
• Link to stable documentation broken (#407)
• neural_ode_sciml example fails when Dense layer replaced by GRU (#432)
• Indexing issue caused by applychain (#436)
• Mutating Arrays not Allowed (#443)
• Optimal Control ref in exogenous input page is broken (#445)
• Support for sparse matrix ODEs (#462)
• implicit layers with neuralODEs ? (#478)
• Disable events tests (#483)
• PresetTimeCallback errors with Zygote differentiation (#502)
• Suggestion for Memory Limitations (#527)
• Unstable FastDense hash and comparison. (#555)
• SteadyStateAdjoint + GPUs: scalar getindex is disallowed (#557)
• sample code running slow on Atom (#560)
• ReverseDiff tape generation over newer Zygote versions segfaults (#586)
• ERROR: UndefVarError: eJ not defined (#588)
• Neural Graph Tutorial not working (#609)
• Note on hybrid sensitivity analysis methods needs an update? (#612)
• ERROR: LoadError: MethodError: no method matching Float32(::ReverseDiff.TrackedReal{Float64, Float32, Nothing}) (#615)
• type HMCKernel has no field integrator (#618)
• Reverse-mode VJPs with mixed scalar+vector GPU code (#632)
• Error in Neural Graph Ordinary Differential Equations example (#640)
• Best practice for taking backpropagation with logging tools for DiffEq.jl (#661)
• Add batch support to FastDense layers, mimicking Flux (#672)
• Missing optimizations in preallocation form (#680)
• Error in the UODEs training when the network enlarges (#689)
• initial_params() always identical (#690)
• PINN with TensorLayer example fails - maybe Enzyme internal error (#694)
• MethodError: no method matching Flux.Dense(::Pair{Int64, Int64}, ::typeof(NNlib.elu)) (#700)
• sciml_train output API documentation (#702)
• LoadError with sciml_train (#713)
• Training a NODE using multiple shooting. (#717)

Merged pull requests:

• Corrections in keyword arguments for NeuralODE example (#720) (@Abhishek-1Bhatt)
• Removal of deprecations (#722) (@Abhishek-1Bhatt)
• Fix Some Doctests (#723) (@DhairyaLGandhi)
• Fixed NeuralDSDE (#724) (@Abhishek-1Bhatt)
• Update neural_de tests (#725) (@frankschae)

v1.49.0

DiffEqFlux v1.49.0

Diff since v1.48.0

Closed issues:

• Fast vjp form (#681)

Merged pull requests:

• swapped sciml_train calls with Optimization.solve() (#711) (@Abhishek-1Bhatt)
• CompatHelper: add new compat entry for Lux at version 0.4, (keep existing compat) (#716) (@github-actions[bot])
• Neural ODE tutorial (#718) (@Abhishek-1Bhatt)

v1.48.0

DiffEqFlux v1.48.0

Diff since v1.47.1

Closed issues:

• Scaling and memory consumption on GPU (#687)

Merged pull requests:

• Generalize input_params to use Flux.destructure (#697) (@DhairyaLGandhi)
• Overhaul the documentation to only focus on the DiffEqFlux components (#709) (@ChrisRackauckas)
• add deprecation warnings to FastChain and sciml_train (#710) (@ChrisRackauckas)
• Switch from GalacticOptim, Galactic* to Optimization, Optimization* (#712) (@Vaibhavdixit02)

v1.47.1

DiffEqFlux v1.47.1

Diff since v1.47.0

Merged pull requests:

• Keep support for cb to avoid breakage (#705) (@Vaibhavdixit02)

v1.47.0

DiffEqFlux v1.47.0

Diff since v1.46.1

Merged pull requests:

• CompatHelper: bump compat for GalacticOptim to 3, (keep existing compat) (#704) (@github-actions[bot])

v1.46.1

DiffEqFlux v1.46.1

Diff since v1.46.0