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Releases: albertaparicio/tfglib

v1.3.0

23 Feb 10:47
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Bump version number up to 1.3

v1.2.1: Pretrain generator: output sequence batches, instead of individual se…

23 Feb 10:47
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v1.2.0

09 Feb 17:25
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Bump version number to 1.2

v1.1.0

29 Jan 19:13
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Change log (by listing the commits in between v1.0.0 and v1.1.0):

  • e112a04 Change encoder-decoder option parameter for an offset parameter
  • 8c392aa Fix seq2seq 2-model weight loading
  • d0380bb Typo fix in backend import
  • 67bbb82 Add s2s_load_weights
  • fb1b0d7 Add display_time method
  • 455805c Unscale prediction and mask data methods
  • 2566121 Minmax scale both source and trained masked data
  • c9378aa Add minmax scaling function
  • 4c069e0 Compute maximum and minimum values of each speaker's parameters
  • f172a93 Fix zero-padding and mask construction
  • f72c43c Save and load max_seq_length as an attribute of h5py
  • fef9fcb Fix issue with max_seq_length extraction
  • 30739e7 Reshape masks into 2D matrices
  • afbe1c1 Apply compression to dataset after .h5 saving
  • aee82fd Rename seq2seq_datatable and remove printing of speakers and basenames
  • 161e228 Add zero-padding modes and minor fix in h5 saving
  • f707567 Add zero_pad_params method

v1.0.0: Version 1.0.0

23 Feb 10:47
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First version installable with pip