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Releases: gaurav-arya/StochasticAD.jl

v0.1.26

20 Jun 04:52
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StochasticAD v0.1.26

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v0.1.25

15 Apr 01:41
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StochasticAD v0.1.25

Diff since v0.1.24

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v0.1.24

07 Mar 04:48
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StochasticAD v0.1.24

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v0.1.23

06 Feb 19:30
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StochasticAD v0.1.23

Diff since v0.1.22

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Closed issues:

  • Typo in the paper for the categorical distribution w+ and w-? (#109)
  • Add more general rand-based interface to allow users to specify custom couplings, etc. (#111)
  • Most simple function to differentiate (#112)
  • Different results inputing 0.4 and 0.40 (#113)
  • Add documentation + example for StochasticAD.propagate (#114)

v0.1.22

03 Dec 03:37
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StochasticAD v0.1.22

Diff since v0.1.21

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Closed issues:

  • Document StochasticAD.propagate (#95)

v0.1.21

17 Oct 19:34
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StochasticAD v0.1.21

Diff since v0.1.20

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Closed issues:

  • Fix docs build (#98)

v0.1.20

23 Sep 17:34
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StochasticAD v0.1.20

Diff since v0.1.19

Merged pull requests:

  • Refactor wrapping logic into an abstract type (#99) (@gaurav-arya)
  • Minor tweaks to random walk tutorial (#100) (@gaurav-arya)
  • Provide enumeration for discrete random distributions when possible (#101) (@gaurav-arya)
  • Make weighted_map_Δs the underlying primitive for mapping and scaling perturbations (#102) (@gaurav-arya)
  • Handled signed weights correctly in pruning backend (#103) (@gaurav-arya)

v0.1.19

20 Sep 03:42
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StochasticAD v0.1.19

Diff since v0.1.18

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Closed issues:

  • Comparing stochastic derivatives to derivatives from traditional AD (#86)

v0.1.18

29 May 22:42
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StochasticAD v0.1.18

Diff since v0.1.17

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v0.1.17

09 May 18:18
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StochasticAD v0.1.17

Diff since v0.1.16

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