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Releases: iwasakishuto/Kerasy

Kerasy 0.7.2

19 Jul 15:43
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Separate 'sdist' and 'bdist_wheel'

Kerasy 0.7.1

19 Jul 15:21
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Add requiremnts.txt

Kerasy 0.7.0

19 Jul 14:51
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Remove examples and doc from dist.

Kerasy 0.6.2

21 Jun 06:18
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Minor Updates for setup.py.

  • Don't use cythonize for avoiding including the generated C++ files in the release tarballs.
  • Add metadata in PyPI.
    • project_urls
    • python_requires
    • install_requires

Kerasy 0.6.1

30 May 11:07
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TODO

  • Make this look like a library
  • Parallel computing using joblib
  • Enrich Deep Learning modules
    • Optimizers
    • Implementation of various models (CNN, RNN, GNN)
      • CNN learned MNIST well.
    • Implementation of Automatic differentiation
  • Create Documentation and examples
  • Automatic compilation of Cython files.
  • Create a Dockerfile and Makefile to facilitate environment construction.
  • test program
  • Add regularizers
  • Corresponds to wheel
  • Add Slack Themes (new!!✨)

Kerasy 0.6.0

20 May 16:16
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TODO

Kerasy 0.5.1

10 May 07:11
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TODO

  • Make this look like a library
  • Parallel computing using joblib
  • Enrich Deep Learning modules
    • Optimizers
    • Implementation of various models (CNN, RNN, GNN)
      • CNN learned MNIST well.
    • Implementation of Automatic differentiation
  • Create Documentation and examples
  • Automatic compilation of Cython files.
  • Create a Dockerfile and Makefile to facilitate environment construction.
  • test program (new!!✨)
  • Add regularizers (new!!✨)

Kerasy 0.4.0

09 May 16:04
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TODO

  • Make this look like a library
  • Parallel computing using joblib
  • Enrich Deep Learning modules
    • Optimizers
    • Implementation of various models (CNN, RNN, GNN)
      • CNN learned MNIST well.
    • Implementation of Automatic differentiation
  • Create Documentation and examples (new!!✨)
  • Automatic compilation of Cython files.
  • Create a Dockerfile and Makefile to facilitate environment construction.
  • test program

Kerasy 0.3.0

08 May 16:47
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TODO

  • Make this look like a library
  • Parallel computing using joblib
  • Enrich Deep Learning modules
    • Optimizers (new!!✨)
    • Implementation of various models (CNN, RNN, GNN)
      • CNN learned MNIST well.
    • Implementation of Automatic differentiation
  • Create Documentation and examples
  • Automatic compilation of Cython files.
  • Create a Dockerfile and Makefile to facilitate environment construction.
  • test program

Kerasy 0.2.0

08 May 12:01
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TODO

  • Make this look like a library
  • Parallel computing using joblib
  • Enrich Deep Learning modules
    • Optimizers
    • Implementation of various models (CNN, RNN, GNN)
      • CNN learned MNIST well. (new!!✨)
    • Implementation of Automatic differentiation
  • Create Documentation and examples
  • Automatic compilation of Cython files.
  • Create a Dockerfile and Makefile to facilitate environment construction.