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adaboost

The Adaboost method for creating a strong binary classifier from a series of weak classifiers is implemented. Classification results are shown for some synthetic datasets and the MNIST dataset containing images of digits.

bayesian-learning

computational-neuroscience-uw-coursera

Programming assignments for the MOOC Computational Neuroscience by University of Washington on Coursera

cs-736_assignments

Code for all assignments of the course CS736: Algorithms for Medical Image Processing offered in Spring 2016 at IIT Bombay.

cs-736_project

IIT Bombay, Spring 2016, CS 736 - Algorithms for Medical Image Processing Course Project by Ayush Baid and Niranjan Thakurdesai

cs-763_assignments

Code for all assignments of the course CS763: Computer Vision offered in Spring 2016 at IIT Bombay.

cs-7641-machine-learning

Code for assignments of the graduate course CS 7641: Machine Learning offered at Georgia Tech in Fall 2018.

ctci-6th-edition-cpp

Cracking the Coding Interview 6th Ed. C++ Solutions

image-blending-graphcuts

Blending two images photorealistically using graphcuts

indiacovidrelief

A list of initiatives to support vulnerable groups during the COVID-19 pandemic and national lockdown

machine-learning_andrew-ng_coursera

Code for all assignments of Andrew Ng's Coursera MOOC on Machine Learning (https://www.coursera.org/learn/machine-learning)

neural-networks-for-machine-learning

This repository contains the code for all programming assignments from the MOOC 'Neural Networks for Machine Learning' by Geoffrey Hinton on Coursera.

niranjantdesai.github.io

orb_slam2

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

ptt-backend

Backend for the Pomodoro Time Tracker project

traffic-sign-detection

Detection and classification of traffic signs in images with the TensorFlow object detection API

twitter-trends-analysis-viz