keya-desai Goto Github PK
Type: User
Bio: Software Developer at Morgan Stanley NY. Masters in Data Science from Rutgers University.
Location: United States
Type: User
Bio: Software Developer at Morgan Stanley NY. Masters in Data Science from Rutgers University.
Location: United States
This repository contains my projects from the course CS520-Aritifial Intelligence. All the problems are implemented in python from scratch, without using any external libraries.
Implementation of Capsule Network on MNIST and Cifar10
implementation of CNN on multiple datasets
Implementation of basic Machine Learning Algorithms
A Jekyll version of the "Forty" theme by HTML5 UP.
Implementation of the paper : Not all attention is needed - Gated Attention Network for Sequence Data (GA-Net) [https://arxiv.org/abs/1912.00349]
An interactive dashboard to explore Global Terrorism Database through data visualisation done using D3.js and Amcharts and Flask framework. Demo : https://www.youtube.com/watch?v=uTu3GNRqMJE&feature=youtu.be
This is a book recommendation engine built using a hybrid model of Collaborative filtering, Content Based Filtering and Popularity Matrix.
Topics - Map-Reduce, Association Rules, Locality-Sensitive Hashing (LSH), SVD, Page Rank, k-means, Modularity, Spectral Clustering, Clique-based communities, Clustering Data Streams, Recommender Systerm
Comparison of Recommender System Algorithms on MovieLens Dataset. Experimentation with Hybrid approach combining the algorithms. Implementation of interest sequence based collaborative filtering.
Working repository for the course of independent study under Professor Charles Cowan
Python implementation of N-gram Models, Log linear and Neural Linear Models, Back-propagation and Self-Attention, HMM, PCFG, CRF, EM, VAE
Implementation of MLP and RBF
This repository is the compilation of the work for graduate level course CS581 : Probability and Statistical Inference.
Database Management System Project
A Bootstrap 4 resume/CV theme created by Start Bootstrap
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.