Pinned Repositories
Ad-Recommendation-via-CTRs
Developed an algorithm based on decision trees to recommend an Ad which should be shown on the website to minimize the regret based on click through rates and also handle banner blindness.
ChatServer
A Chat Server serving TCP clients as well as web(HTTP) clients built using NodeJS, Express, Socket.IO, jQuery and Bootstrap.
ComputerVision
Photometric Stereo, Image Segmentation and Stereo Vision
DistributedHashTableChord
A simple distributed hash table based on chord . Implemented ring based routing, ID-space partitioning and handled node joins.
GroupMessenger
A group messenger which provides TOTAL & FIFO ordering guarantees for all messages.
Information-Retrieval-from-News-Articles
Search Engine for News Articles
Machine-Learning
Neural Networks, Discriminant Analysis, SVM, Logistic Regression, Linear/Non Linear Regression
Multi-Dimensional-News-Summarization
Multi-Dimensional-News-Summarization which provides topical and chronological summarization views for a given user query/story
Real-Time-Eye-Tracking-Interface-and-Gesture-Recognition
The Project aims at detecting Face, Eye and Eyeballs and then track those eyeballs thus defining actions for various gestures. Apart from eyeballs, the detected face and eye have also been used to define gestures.
Semantic-Labeling-of-Images
The supervised learning method described in this project extracts low level features such as edges, textures, RGB values, HSV values, location , number of line pixels per superpixel etc. to train the model using a Support Vector Machine and semantically label the superpixels in test set with labels such as sky, tree, road, grass, water, building, mountains & foreground objects. The results were then compared with ground truth to evaluate the accuracy of the model.
ashishgupta023's Repositories
ashishgupta023/Real-Time-Eye-Tracking-Interface-and-Gesture-Recognition
The Project aims at detecting Face, Eye and Eyeballs and then track those eyeballs thus defining actions for various gestures. Apart from eyeballs, the detected face and eye have also been used to define gestures.
ashishgupta023/Semantic-Labeling-of-Images
The supervised learning method described in this project extracts low level features such as edges, textures, RGB values, HSV values, location , number of line pixels per superpixel etc. to train the model using a Support Vector Machine and semantically label the superpixels in test set with labels such as sky, tree, road, grass, water, building, mountains & foreground objects. The results were then compared with ground truth to evaluate the accuracy of the model.
ashishgupta023/ChatServer
A Chat Server serving TCP clients as well as web(HTTP) clients built using NodeJS, Express, Socket.IO, jQuery and Bootstrap.
ashishgupta023/Ad-Recommendation-via-CTRs
Developed an algorithm based on decision trees to recommend an Ad which should be shown on the website to minimize the regret based on click through rates and also handle banner blindness.
ashishgupta023/ComputerVision
Photometric Stereo, Image Segmentation and Stereo Vision
ashishgupta023/DistributedHashTableChord
A simple distributed hash table based on chord . Implemented ring based routing, ID-space partitioning and handled node joins.
ashishgupta023/GroupMessenger
A group messenger which provides TOTAL & FIFO ordering guarantees for all messages.
ashishgupta023/Information-Retrieval-from-News-Articles
Search Engine for News Articles
ashishgupta023/Machine-Learning
Neural Networks, Discriminant Analysis, SVM, Logistic Regression, Linear/Non Linear Regression
ashishgupta023/Multi-Dimensional-News-Summarization
Multi-Dimensional-News-Summarization which provides topical and chronological summarization views for a given user query/story
ashishgupta023/neo-ai-dlr
Neo-AI-DLR is a common runtime for machine learning models compiled by AWS SageMaker Neo, TVM, or TreeLite.
ashishgupta023/notebooks
ashishgupta023/RoboticsAlgorithms
BUG2,RANSAC, Discrete Grid Bayes Localization
ashishgupta023/sagemaker-python-sdk
A library for training and deploying machine learning models on Amazon SageMaker
ashishgupta023/SimplifiedAmazonDynamo
A simplified version of Amazon Dynamo which provides linearizability and availability. Implemented Quorum replication and implemented methods to handle failures , provide consistency and handle concurrency.
ashishgupta023/tvm
Open deep learning compiler stack for cpu, gpu and specialized accelerators
ashishgupta023/TwitterSimulator
My attempt at creating a Twitter Simulator, by considering it as two separate networks - Informational & Social. The network generated follows a Power Law Distribution
ashishgupta023/ubmlcourse
Collection of iPython notebooks for UB CSE Machine Learning course (CSE 474/574)
ashishgupta023/ud851-Exercises