/Bio-Unsupervised

Pattern Matching Algorithms for Biological and Artistical Inspired Images

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Bio-Unsupervised

Pattern Matching Algorithms for Biological and Artistical Inspired Images

  • Currently development is on Google Colab Research. Download the .ipynb and open it on Google Colab Research service. Please note the file with direct link to my implementation.

  • More Info about this Research Project see the Repo https://github.com/Uiuran/Biological-Images-Datasets/

  • Lucid Research Project of Polysemic Neurons relates to this research tensorflow/lucid#122.

Autograph Feature Request

  • We issued a feature resquest to automatizate name-architecure handling through Ultrametric Spaces**. This is part of an effort to make the original data greater through transfer learning and hyperparam tuning automatized via protocol [FUTURE].

  • tensorflow/tensorflow#30991

DataAutoArch

  • Effort to do Autographing with the above protocol (HPP TLP) with Semi-Supervised (Naturaly Supervised as mentioned by (((ل()(ل() 'yoav))) Learning, Unsupervised Learning. An Effort To Give the DATA all the AsSETS [FUTURE].

** References