Skip to content

Releases: WUR-AI/diffWOFOST

v0.3.0

20 Jan 10:21
af95dee

Choose a tag to compare

This release comes with changes as:

Fixed:

  • logo is updated in #63
  • phenology tests in #64
  • split the leaf_dynamics and root dynamics notebook in #69
  • update documentation in #77
  • fix sigmoid approximation in leaf_dynamics in #69

Added:

  • use all test data in unit tests in #54
  • implementation of a differentiable and vectorized root_dynamics in #55
  • implementation of a differentiable and vectorized root_dynamics in #56
  • implementation of a differentiable and vectorized pehnology in #57
  • a configuration module in #59
  • support dtype and device with GPU tests in #65
  • an optimization notebook for phenology in #67
  • implementation of a differentiable and vectorized partitioning in #70
  • implementation of a differentiable and vectorized assimilation in #71

v0.2.0

29 Oct 12:50
84c4d28

Choose a tag to compare

This release comes with changes as:

Added:

  • implementation of a differentiable root_dynamics w.r.t the parameter TDWI in #29
  • a notebook showing how optimization of parameters in leaf_dynamics and root_dynamics can be done using pytorch in #35
  • vectorize the computations in leaf_dynamics w.r.t its parameters in #36
  • documentation in #38
  • a logo for diffwofost package in #31

v0.1.1

23 Sep 15:16
cd81c73

Choose a tag to compare

Test Release (Github Workflow PyPI)