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  • 👋 Hi, I’m @ssgantayat
  • 👀 I’m interested in ... Machine Learning, Data Science, Social Networks, Soft Computing Techniques
  • 🌱 I’m currently learning ... Machine Learning and Data Science
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Dr. Sasanko S Gantayat's Projects

acurustrack icon acurustrack

A multi-object tracking component. Works in the conditions where identification and classical object trackers don't (e.g. shaky/unstable camera footage, occlusions, motion blur, covered faces, etc.). Works on any object despite their nature.

ai-programming-using-python icon ai-programming-using-python

This repository contains implementation of different AI algorithms, based on the 4th edition of amazing AI Book, Artificial Intelligence A Modern Approach

aima-lisp icon aima-lisp

Common Lisp implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

aima-python icon aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

aind2-rnn icon aind2-rnn

Project materials for RNN segment of AIND nanodegree

algs4 icon algs4

Algorithms, 4th edition textbook code and libraries

all-classification-templetes-for-ml icon all-classification-templetes-for-ml

Classification - Machine Learning This is ‘Classification’ tutorial which is a part of the Machine Learning course offered by Simplilearn. We will learn Classification algorithms, types of classification algorithms, support vector machines(SVM), Naive Bayes, Decision Tree and Random Forest Classifier in this tutorial. Objectives Let us look at som

alpa icon alpa

Auto parallelization for large-scale neural networks

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