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Improving by ∆𝛿 everyday
Improving by ∆𝛿 everyday


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@ImperialCollegeLondon @IFExD @PhyAAt @spkit @MLEndDatasets @PMLBook
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I'm Nikesh Bajaj, recently joined Queen Mary University of London, as a Lecturer (~ Asst. Prof.).
and working with Imperial College London as an Honorary Research Associate.

  • 🔊 My PhD work: PhyAAt: Physiology of Auditory Attention, Check out here, all the data, code and files are shared. Recieved in 2019, from Queen Mary University of London.
  • 🔊 I have a few libraries, you might find useful: SpKit, PhyAAt, RegML, PyLFSR check all here - PyPI/nikeshbajaj.
  • 🔊 Recently, I was invited as a guest speaker by for NLP Learing Community Event, where I shared my journay to AI, my PhD work and current work on Decetion Detection. Take a look - YouTube




Python Open-Source Libraries:

Libraries Total downloads Description
spkit Downloads Signal Processing ToolKit -
phyaat Downloads Physiology of Auditory Attention - (PhD work)
pylfsr Downloads Linear Feedback Shift Register -
regml Downloads Regularization Techniques for Machine Learning -
mlend Downloads MLEnd Datasets -

Projects/ Publications/ Patent:

NIkesh's GitHub stats


  1. spkit spkit Public

    Signal Processing Toolkit, including ML models with visualization

    Python 23 21

  2. Linear_Feedback_Shift_Register Linear_Feedback_Shift_Register Public


    Python 63 21

  3. phyaat phyaat Public

    PhyAAt: Physiology of Auditory Attention - Processing Library

    Python 8 6

  4. Machine_Learning_From_Scratch Machine_Learning_From_Scratch Public

    Machine Learning models from scratch with a better visualisation

    Jupyter Notebook 15 8

  5. Regularization_for_Machine_Learning Regularization_for_Machine_Learning Public

    Regularization for Machine Learning-RegML GUI

    Jupyter Notebook 6 2

  6. Notebooks Notebooks Public

    Jupyter Notebooks of examples code and tutorial for various libraries are included here. This can allow to execute these notebooks using Binder

    Jupyter Notebook 4 2