ajitashree Goto Github PK
Name: Ajita Shree
Type: User
Company: IIT Kanpur
Bio: Research Scholar, IIT Kanpur; Alma mater - IIT Delhi, Dept. of Computer Science
Location: Kanpur
Name: Ajita Shree
Type: User
Company: IIT Kanpur
Bio: Research Scholar, IIT Kanpur; Alma mater - IIT Delhi, Dept. of Computer Science
Location: Kanpur
Implementation of the an algorithm that finds conditional in-dependencies between different nodes in the network.
Solved assignments of the course CS6190 Probabilistic Modelling offered in Fall 2019 at the University of Utah.
My course at IIT Kanpur 2020-21 even sem
IIT kanpur ML course
Below is the implementation of Data Mining algorithms i.e. ECLAT and Pincer Search, and clustering algorithms i.e. agglomerative and Hierarchical clustering.
Implemented the Gibbs sampler over the Markov network structure to perform inference over the OCR graphical models.
Facility location is a name given to class of optimization problems in the areas of Computer Science and Game Theory, where the objective is to maximize the profits by optimal placement of facilities, keeping all the customer needs in mind. The repository includes the implementation of optimization problem using linear programming (MATLAB) and local search heuristics based algorithms (C++)
The below implementation is the solution of a problem statement on Image comparison . The link to the problem statement is in the description below.
Learning parameters in probabilistic graphical models for future predictions
Multi-Level Facility Location is a variant of Facility Location, an NP hard optimization problems. Here, the objective is minimize the cost incurred and maximize the profits with the optimal placements of facility at different levels.
Implemented a Bayesian network for Optical Character Recognition. Implemented inference algorithmic techniques i.e. message passing and loop belief propagation
Probabilistic Machine Learning: Advanced Topics
SQL Queries for database operations on IMDB data-set. The details of queries are in the pdf file below.
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.