Simple framework to construct machine learning models with tensorflow
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Simple framework to construct machine learning models with tensorflow


SuperTF was initially conceived as a means to get familiar with Tensorflow by constructing machine learning models and executing the Tensorflow Tutorials

I have expanded SuperTF overtime and now it has a suite of tools to help in:

  • Generation of datasets as tfrecords files (Currently supports Semantic segmentation, Classification and Sequence Generation)
  • Rapid Prototyping of Deep learning models
  • Network and Data visualization via tensorboard
  • Session management for extended training sessions


Please refer to the examples for:

Included Network Architectures

I’ve added a several neural network architectures:





I've edited and added to certain network architectures to fulfill a certain niche or to improve their performance. These networks are:

Currently working on:

  • Upgrading architectures to individual classes
  • Preparing wrapper to work with both TF and Pytorch as backend
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