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Releases: SciML/DiffEqFlux.jl

v0.10.1

28 Dec 19:09
v0.10.1
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v0.10.1 (2019-12-28)

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v0.10.0

14 Dec 10:45
v0.10.0
79a19c0
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v0.10.0 (2019-12-14)

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v0.9.0

10 Dec 21:19
v0.9.0
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v0.9.0 (2019-12-10)

Diff since v0.8.1

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v0.8.1

30 Nov 10:47
v0.8.1
92918b0
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v0.8.1 (2019-11-30)

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Closed issues:

  • Preprocessing Layer in Neural ODE causes Error (maybe Tracker related). (#90)
  • Compilation problem (#89)

Merged pull requests:

  • Added separate Callbacks for the forward and adjoint solves (#84) (PiotrSokol)

v0.8.0

18 Nov 23:19
v0.8.0
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v0.8.0 (2019-11-18)

Diff since v0.7.0

Closed issues:

  • Forward solve fails with LinearAlgebra.Adjoint initial values (#85)

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v0.7.0

22 Oct 02:27
v0.7.0
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v0.7.0 (2019-10-20)

Diff since v0.6.1

Closed issues:

  • MethodError: no method matching Float64(::Tracker.TrackedReal{Float64}) when using Array instead of Vector as parameters (#82)
  • ERROR: LoadError: MethodError: objects of type Tracker.Params are not callable - partial_neural.jl (#77)
  • pictures (#67)
  • Derivative w.r.t initial conditions with saveat for end point (#25)
  • Scalar saveat with neural ODE has a type issue (#12)

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v0.6.1

21 Jul 14:10
v0.6.1
b70f724
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v0.6.1 (2019-07-21)

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v0.6.0

20 Jul 03:13
v0.6.0
4524eed
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v0.6.0 (2019-07-20)

Diff since v0.5.2

Closed issues:

  • neural_ode solve leaves gpu (#65)
  • save_start=false argument ignored for neural_ode solve (#64)
  • Error when running example on README (#63)
  • Register (#62)
  • GPU + Adjoint u0 (#61)

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v0.5.2

17 Jul 10:46
v0.5.2
ca02714
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v0.5.2 (2019-07-17)

Diff since v0.5.1

Closed issues:

  • "MethodError: no method matching gemm!" error when using Rosenbrock23 with diffeq_rd. (#55)

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v0.5.1

12 Jul 09:29
v0.5.1
e522ff0
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v0.5.1 (2019-07-11)

Diff since v0.5.0

Closed issues:

  • Register (#57)
  • Problems with custom layers (#54)
  • Allocations using diffeq_rd() (#51)
  • Tag v0.5.0 (#49)

Merged pull requests: