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10-617

16-824-hw1

Classification and Detection

a-star-implementation

The implementation of a-star algorithm on an image given the start and end points

acm-icpc-regionals-codes

Codes written as practice for ACM-ICPC Regionals as part of team The Missing Semicolon on websites such as codechef,codeforces,hackerearth and USACO

acm-icpc-regionals-documentation

Documentation as part of team The Missing Semicolon at ACM-ICPC Amritapuri Coimbatore Onsite Regionals 2018-2019

algorithms_lab_-cs29003-_assignemnts

Adding the assignments to CS29003 Spring Semester 2019.

basic-gans-implementation-pytorch

Practice code for generating a Gaussian distribution from a Uniform Distribution by using Generative Adverserial Networks on Pytorch

cvit_19_ml_github

detection_tracking_videos

Code for detecting foot movement in classic Indian dance stream through classic computer vision algorithms (feature point tracking, background subtraction) and learning based methods (3-D CNNS and RNNs)))

fashion-iq

fashion-iq-metadata

this repo contains some useful metadata for Fashion IQ challenge: https://sites.google.com/view/lingir/fashion-iq

frenet_planner

Optimal Trajectory Generation

git-sandbox-agv

for testing out git

hybrid-astar-planner

Hybrid A* Path Planner

kalman-filter

implementation of Kalman filter for a sample landmark text file

machine_learning_assignments_cs60050

Assignment submissions of the course Machine Learning (CS60050) at IIT Kharagpur. Decision Tree - Decision tree learning implemented from scratch with only Numpy using information gain as criterion for splitting. Naïve Bayes Classifier - Naive Bayes Classifier implemented from scratch with Laplacian Smoothing. Adaboost - Adaboost algorithm implemented from scratch with decision tree as the base classifier. K Means Clustering - Kmeans clustering algorithm implemented from scratch and jaccard distance calculated.

models

Models and examples built with TensorFlow

pgm-project

pythonrobotics

Python sample codes for robotics algorithms.

regression-using-pytorch

Practice code for implementing regression using a one layered neural network to learn the basics of pytorch and vary hyperparameters such as number of hidden nodes and learning rate. Tried to estimate sin(x) and x^2 with some noise.

rrt_implementation

This contains the C++ code for Implementation of Rapidly-exploring Random Trees (RRT) Algorithm on a sample image

test

white-blood-cell-classifier

Adding code for the MHRD project to count the number of white blood cells in a given blood smear. This code includes the object detection approach for the problem and used Faster RCNN Model from Tensorflow's Object detection API to detect the white blood cells and count their number.