gkkhut Goto Github PK
Name: Gunjan Khut
Type: User
Company: Insulet Corporation
Bio: Senior Controls Engineer, Automation
Location: Boston, Massachusetts
Blog: gkkhut.github.io
Name: Gunjan Khut
Type: User
Company: Insulet Corporation
Bio: Senior Controls Engineer, Automation
Location: Boston, Massachusetts
Blog: gkkhut.github.io
Simulation Performed with different obstacle spaces as well as implemented A* on Turtle bot 2.
The objective of the Agile Robotics for Industrial Automation Competition (ARIAC) is to test the agility of industrial robot systems, with the goal of enabling industrial robots on the shop floors to be more productive, more autonomous, and be more responsive to the needs of shop floor workers.
:books: List of awesome university courses for learning Computer Science!
A curated list of awesome Deep Learning tutorials, projects and communities.
A list of awesome Robotics resources
This paper describes a new approach to probabilistic roadmap planners (PRMs). The overall theme of the algorithm called Lazy PRM, whose aim is to minimize the number of collision checks performed during the planning and hence minimize the running time of the planner.
Deep Reinforcement Learning for Simulated Self Driving Car
ENPM 809K
Game of Dots and Boxes using Q learning
Implementation of tree generation algorithm to generate nodes for 8-Puzzle and search algorithm to find the solution for any given state.
My Website
GPS-based-Vault-with-Integrated-Fingerprint-Scanner-and-Keypad-Lock
Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI. This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.
Northrop Grumman Image Recognition Challenge at University of Maryland, College Park
Lane and vehicle alignment detection using Hough Lines/Probabilistic Hough lines, RANSAC, Traffic Sign detection and recognition using HOG + SVM for detection and recognition, Visual odometry.
Python sample codes for robotics algorithms.
Repository for the projects needed to complete the Data Analyst Nanodegree.
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.