1. SpKit : spkit :  pip install spkit
      PyPI - Downloads
      Signal Processing toolkit library for some of the statistical operations & transforms, not widely available.  Computing Scalogram of a signal using complex continues wavelet functions. Documentation  | Homepage
    2. PhyAAt :  phyaat :  pip install phyaat
      PyPI - Downloads
      Python library for downloading the dataset, feature extraction, preprocessing and predictive modeling for PhyAAt project. | Homepage

    3. LFSR :  pylfsr : pip install pylfsr
      PyPI - Downloads
      Python library to generate pseudo random bit stream using Linear Feedback Shift Register. It also includes the tests of LFSR for three properties and A5/1 and Geffe Generators. Documentation.

    4. RegML :  regml : pip install regml
      PyPI - Downloads
      Python implementation for Regularization methods for Machine Learning with GUI, includes kernel learning and and regularizations techniques.
      | Homepage

 

Github Page

Github Ropo

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Here is implementation of Neural Network from scratch without using any libraries of ML Only numpy is used for NN and matplotlib for plotting the results visulization of deep layers are also shown in the examples

Optimization: Gradient Decent -Basic one, Momentum, RMSprop, Adam (RMS+ Momentum)

Regularization: L2 Penalization, Dropouts

Data sets: Two class dataset : Gaussian, Linear, Moons, Spiral, Sinasodal, Multiclass: gaussian distribuated data upto 9 classes

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Methods

Code: Python GUI, IPython-Notebook

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Kernal Learning

  • Linear         equation1
  • Polynomail      equation2
  • Gaussian (RBF)  equation3

Github Page Github Ropo

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Code available on PyPI libraries
Installation:

pip install regml

Execute:

import regml
regml.GUI()

PyPI

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Linear Feedback Shift Register

LFSR code with Python and Matlab both, can be used for modeling A5/1 Generator or Implementing Enhancement of A5/1 as per [https://doi.org/10.1109/ETNCC.2011.5958486]

Code : Python & Matlab

Github Page | Github Ropo

Python Code is available on PyPI PyPI

 Installation:

pip install pylfsr

Documentation