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Releases: gugarosa/nalp

v2.0.5

14 Oct 16:06
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Full Changelog: v2.0.4...v2.0.5

v2.0.4

22 Apr 18:39
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In this release, we have added pre-commit hooks and annotated typing.

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  • nalp

2.0.3

19 Jan 15:58
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In this release, we have removed our implementation of the MultiHeadAttention layer and replaced for Tensorflow's one, as it yields a better convergence. Additionally, we have fixed the output of the latent space from TextDiscriminator, where it was being constrained to a 2-dimensional space.

Finally, we ditched support for Gensim v3.x, only supporting v4+.

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  • nalp

Full Changelog: v2.0.2...v2.0.3

v2.0.2

04 May 12:46
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In this release, we have optimized our engine and re-wrote some inner codes and classes. Additionally, we are glad to offer a SentenceCorpus class, which allows users in reading sentence-based samples instead of continuous text.

Secondly, we have added new text sampling methods, such as Greedy Search, Top-k sampling and Nucleus sampling. These methods have been rewritten for both generators and adversarial-based models.

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  • nalp

v2.0.1

11 Mar 15:09
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This is a small release that holds the necessary code to execute a pre-designed GitHub workflow that publishes the builded package into PyPI whenever a new release is made.

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  • .github/workflows

v2.0.0

15 Sep 17:51
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In this release, we have major reworked the library. Please, take a while and look to our newly example scripts.

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  • nalp

v1.1.0

18 Sep 16:08
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Welcome to NALP's changelog. This release is a major rework, on every class and core aspects from the NALP package. Expect everything to be changed, but thinking of that, we provided new examples on how to work with the new classes and methods.

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  • nalp

v1.0.1

21 Jun 14:39
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Welcome to NALP's changelog. This is a huge update, where we basically went from Tensorflow v1 to v2. We are in the verge of allowing users to save and load their model, but it still might take a while. Sorry for any trouble that it may cause.

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  • neurals.rnn
  • neurals.layers
  • utils.math

v1.0.0

26 Feb 18:18
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This is the initial release of NALP. It includes all basic modules in order to work with it. One can create encodings, datasets and feed them to a Recurrent Neural Network. Please check examples folder or read the docs in order to know how to use this library.

Includes

  • core
  • datasets
  • encoders
  • neural
  • stream
  • utils
  • visualization