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Releases: SciML/DiffEqFlux.jl

v1.3.2

19 Feb 15:09
19af8e5
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DiffEqFlux v1.3.2

Diff since v1.3.1

Closed issues:

  • Feed known DE in neural DE (#122)
  • Using loss as a function of data with sciml_train (#144)
  • Some animations (#146)
  • Box Constrained Optimization with sciml_train (#148)
  • solve and concrete_solve crash when called through sciml_train (#153)
  • ODE_layer (#155)
  • FastDense is not found (#156)
  • Documentation of sciml_train does not match actual arg prototype (#162)

Merged pull requests:

v1.3.1

07 Feb 23:21
v1.3.1
38256f1
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v1.3.1 (2020-02-07)

Diff since v1.3.0

Closed issues:

  • No method matching finite\_difference\_jacobian (#142)
  • modify parameters in-place in sciml_train! (#140)
  • Fix StaticDense (#134)
  • Expose more controls in sciml_train! (#132)

Merged pull requests:

v1.3.0

06 Feb 21:01
v1.3.0
364ea75
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v1.3.0 (2020-02-06)

Diff since v1.2.2

Closed issues:

  • TrackerAdjoint on GPUs (#135)

Merged pull requests:

v1.2.2

04 Feb 21:09
v1.2.2
6331437
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v1.2.2 (2020-02-04)

Diff since v1.2.1

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v1.2.1

02 Feb 22:57
v1.2.1
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v1.2.0

02 Feb 20:57
v1.2.0
bb0a9f4
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v1.2.0 (2020-02-02)

Diff since v1.1.1

Closed issues:

  • NeuralODE not training with DiffEqFlux v1.1.1 (#127)
  • Better SciML Training Loop (#120)
  • DiffEqFlux could handle infinite loss better. (#70)

Merged pull requests:

v1.1.1

24 Jan 08:21
v1.1.1
2085732
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v1.1.1 (2020-01-24)

Diff since v1.1.0

Closed issues:

  • Suggestion: Passing Args to Callback in Flux.train!, and return args from Loss() (#116)

Merged pull requests:

v1.1.0

20 Jan 10:34
v1.1.0
22e20ad
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v1.1.0 (2020-01-20)

Diff since v1.0.0

Closed issues:

  • Neural SDE example has convergence and plotting issue (#114)
  • Tests sometimes fail (#112)
  • LoadError: UndefVarError: Tracker not defined (#110)
  • Stack Overflow error (#88)
  • DiffEqFlux 0.6.0, 0.5.0 and 0.5.1 do not compile on julia 1.0 (#81)

Merged pull requests:

v1.0.0

13 Jan 19:13
v1.0.0
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v1.0.0 (2020-01-13)

Diff since v0.10.2

Closed issues:

  • Long integrations fail with Zygote even with hardcoded adjoint (#108)
  • Cannot provide higher level functions with neural networks with Zygote: Neural ODE restructure dimension mismatch (#107)
  • Long integrations fail with Zygote even with hardcoded adjoint (#105)
  • Zygote GPU (#104)
  • Training a neural_ode with Flux is VERY slow on the GPU. (#102)
  • Remaining Zygote issues (#101)
  • DiffEqFlux v0.4.0 will not pre-compile with Flux 0.10.0 in Julia 1.3 (#99)
  • Zygote compatibility for new Flux update (#79)

Merged pull requests:

v0.10.2

29 Dec 21:33
v0.10.2
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