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Releases: vanderhe/fortnet

Release 0.7.3

21 Mar 13:09
0419968
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Release Fortnet in version 0.7.3

Changelog:

  • removes artificial restriction that prevents to calculate systems with a subset of BPNN elements

Release 0.7.2

10 Nov 11:06
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Release Fortnet in version 0.7.2

Changelog:

  • superfluous dependencies of project removed

Release 0.7.1

15 Sep 17:43
2010be1
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Release Fortnet in version 0.7.1

Changelog:

  • support for building as shared library
  • restructuring of build infrastructure for conda-forge packaging

Release 0.7

05 Jul 16:42
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Release Fortnet in version 0.7

Changelog:

  • support for the i-PI socket communication protocol as external driver
  • matmul intrinsic replaced by BLAS calls, where performance critical

Release 0.6

15 Mar 15:30
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Release Fortnet in version 0.6

Changelog:

  • support for simultaneous training on system-wide and atomic targets
  • several bugfixes

Release 0.5

08 Jan 20:23
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Release Fortnet in version 0.5

Changelog:

  • Fortformat moved to dedicated repository
  • optional atom-resolved weighting of training gradients
  • documentation for the ASE file-IO calculator
  • analytical network output derivatives w.r.t. atomic coordinates (e.g. force analysis)
  • several bugfixes

Release 0.4.1

20 Oct 10:24
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Release Fortnet in version 0.4.1

Changelog:

  • properly increase version number from 0.3 to 0.4

Release 0.4

18 Oct 09:53
150ce1f
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Release Fortnet in version 0.4

Changelog:

  • lasso, ridge and elastic net regularization
  • atomic force analysis based on finite differences
  • additional activation functions

Release 0.3

30 Aug 13:26
3b610d1
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Release Fortnet in version 0.3

Changelog:

  • HDF5 based input and output
  • condense program state into single file
  • species-resolved ACSF scheme
  • manual ACSF specification (+ G4 function support)
  • optional random shuffling of gradient calculations
  • remove support for target standardization
  • several bugfixes

Release 0.2

21 Jun 08:59
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Release Fortnet in version 0.2

Changelog:

  • contiguous dataset file format
  • external atomic input features
  • FORD code documentation
  • individual datapoint weighting
  • MPI parallelized network evaluation
  • loss function aware backpropagation
  • several bugfixes