dkarunakaran Goto Github PK
Name: Dhanoop Karunakaran
Type: User
Bio: PhD in CS & Eng. (Autonomous Vehicle), AI/ML Engineer, Researcher
Location: Sydney, Australia
Blog: https://www.linkedin.com/in/dhanoop-karunakaran-346b1549
Name: Dhanoop Karunakaran
Type: User
Bio: PhD in CS & Eng. (Autonomous Vehicle), AI/ML Engineer, Researcher
Location: Sydney, Australia
Blog: https://www.linkedin.com/in/dhanoop-karunakaran-346b1549
This repository contains the code that extracts text from uploaded images of book indexes and stores it in a SQLite database. It then provides a search facility for finding the keyword you want to search for, indicating in which book and on what page it resides.
This is the third project of the Udacity Selfdriving Car nanodegree.The project is about to train the car to almost go around the track. I have used modified NVIDIA architecture and different data augumentation technique to train the model.
Kalman filtering, also known as linear quadratic estimation (LQE), is an algorithm that uses a series of measurements observed over time, containing statistical noise and other inaccuracies, and produces estimates of unknown variables that tend to be more accurate than those based on a single measurement alone, by using Bayesian inference and estimating a joint probability distribution over the variables for each timeframe.
In this project, you will be writing code to identify lane lines on the road, first in an image, and later in a video stream (really just a series of images).
Implement a PID controller in C++ to maneuver the vehicle around the track in simulator.
In this project, I've used deep neural networks and convolutional neural networks to classify traffic signs. then it has been trained and validated a model so it can classify traffic sign images using the German Traffic Sign Dataset.
This repo contains the continuous training (CT) implementation.
Deep learning nano degreee first project
In this project, you'll classify images from the CIFAR-10 dataset.
In this project, you'll generate your own Simpsons TV scripts using RNNs. You'll be using part of the Simpsons dataset of scripts from 27 seasons. The Neural Network you'll build will generate a new TV script for a scene at Moe's Tavern.
In this project, you’re going to take a peek into the realm of neural network machine translation. You’ll be training a sequence to sequence model on a dataset of English and French sentences that can translate new sentences from English to French.
In this project, you'll use generative adversarial networks to generate new images of faces.
Deep learning nano degreee Sentiment Analysis project
Entity recognition using Deep Learning
This is a modified and simplified inference engine of davidsandberg's facenet
Transform Frenet (s,d) to local Cartesian (x,y) coordinates.
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.