vikasnataraja Goto Github PK
Name: Vikas Nataraja
Type: User
Company: @LASP
Bio: Remote Sensing | Machine Learning
Location: United States
Name: Vikas Nataraja
Type: User
Company: @LASP
Bio: Remote Sensing | Machine Learning
Location: United States
This project, from Udacity's Self-Driving Car Engineer Nanodegree program, explore the implementation of various computer vision algorithms to identify lane lines, specifically targeting curved roads. It involves extensive use of OpenCV.
This repo explores the understanding of cloud imagery using Google's Inception v3 model for segmentation and classification and written in Keras
Repo to maintain the codebase for the CNN model capable of retrieving cloud optical thicknesses (COT).
Reconstruction of Cloud Vertical Structure with a Generative Adversarial Network
A repo to maintain the codebase for Fantasy Premier League predictions
This repo explores the use of a simple beginner-level convolutional neural network to classify handwritten digits
This repo details the installation process of ROS Melodic on elementaryOS 5.1 (Hera)
This project explores the use of KNN algorithm to classify a database of handwritten digits. The algorithm does not use scikit-learn's built in KNNClassifier but instead a custom version that I have built.
This project uses OpenCV library in Python to find lane lines on a highway. The algorithm primarily uses Canny Edge Detection and Hough transforms to mark the lanes.
This project uses Histogram of Oriented Gradients for pedestrian detection and Kalman Filter for tracking and prediction
This repo aims to explore various machine learning methods to predict the income for a test set by training the models on known census data.
We developed this project in Fall 2019 as part of the F1-Tenth competition but that repo was private and this is publicly available.
This project aims to explore the different types of disparity calculation algorithms inclusing Sum of Squared Disparities and Normalized Corss-Correlation. It also uses dynamic programming to see the differences.
This project explores the performance of SVM and Lasso and Ridge Regression algorithms on the iris flower dataset and forest fires dataset
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This project uses LeNet-5, a type of Convolutional Neural Network, to classify German traffic signs
This project explores the use of machine learning applied to image data from a single camera to decide switching lanes. Dataset is from UC Berkeley's DeepDrive group.
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.