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Releases: Palashio/libra

Libra 1.25

20 Nov 14:46
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  • added fine_tune parameter that allows layer freezing in CNN's
  • fixes for custom architecture
  • plots and classification report for CNN
  • dashboard fixes
  • nlp fixes

Libra 1.2.2

23 Sep 15:12
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Just some minor bug fixes all around!

Libra 1.2.0

23 Sep 03:11
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New features:

  • Working full fledged dashboard
  • Deploy models to TensorFlow Lite
  • Use DCGAN's with a gan query
  • Plots are now available for CNN query
  • Added more pretrained models for CNN queries: DenseNet, MobileNet etc.
  • Quite a few bug changes

Libra 1.1.2

17 Aug 14:20
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  • Fixed issues with pprint dependency
  • Adjusted path for dashboard

Libra 1.1.1

06 Aug 00:44
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Libra 1.1.1 Pre-release
Pre-release
  • small fixes for named entity recognition

Libra 1.1.0

06 Aug 00:38
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  • addition of XGBoost Query
  • addition of reccomendation engine
  • addition of dashboard(), which is a fully functional UI for data analysis and dimensionality reduction integration.
  • addition of text generation query
  • ability to use pretrained models in convolutional() query
  • named entity recognition query addition

Libra 1.0.3

25 Jul 23:34
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  • Added XGBoost Support
  • Added interactive dataset UI
  • Fixed issues with python-Levenshetein import
  • Removal of torch dependencies - complete reimplementation in tensorflow!

Contributors

@Abhilash2000 @ramyabuva @jbofill10 @dikshantj @abx393 @vraj123

Libra 1.0.2

20 Jul 15:58
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Fixed issues with increasing layers after every loss calculation. Increased optimizations using list comprehensions.

Contributors

@Palashio @Sar1hak @Abhilash2000

Libra 1.0.1

18 Jul 02:18
64392a4
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Fixed issue with wrong accuracy display for classification_ANN query. Also removed redundant code for neural network creation for neural_network_query().

Contributors

@Sar1hak @Abhilash2000 @Palashio

Libra 1.0.0

13 Jul 13:53
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First official release of libra! This build includes robust implementations of our core features.

Contributors

Contributions from these developers are featured in this build:

@ramyabuva @SidAkalwadi @pahuja-gor @vyathakavilocana @yash19062000 @jbofill10 @Sar1hak @anas-awadalla @pranavnt @Pragun100 @Vakhshoori101