Name: Kiran Puttur
Type: User
Company: https://github.com/NVIDIA
Bio: Graphics, Open Compute, Virtualization, OpenCL, OpenGL, Vulkan, HPC, Machine Learning and Autonomous Vehicles
C, C++, Python
Twitter: kputtur
Location: Bangalore India
Blog: kputtur.github.io
Kiran Puttur's Projects
Algorithms repo
This is an attempt to create automatic docker file using the input from user, web front end would be where user will host his application and requirements and in the backend this program would create a docker file and give it to him
Using Keras to train a deep neural network for predicting steering angles based on camera input. Trained on a Unity3D simulator.
This is a Facebook application using Flash component allowing users to connect to each others in Facebook network
BLAS-like Library Instantiation Software Framework
Starting files for the Udacity CarND Behavioral Cloning Project
A particle filter to localize a car using LIDAR data
CarND Term 2 Model Predictive Control (MPC) Project
Create a path planner that is able to navigate a car safely around a virtual highway
Udacity Self Driving Car System Integration Project
Windows (Win32) command-line utility to change the modification timestamps of one or more files.
Intelยฎ Data Analytics Acceleration Library (Intelยฎ DAAL)
Implementation of Extended Kalman Filter as part of the CarND Term 2 project 1.
Jenkins email-ext plugin
some programs fun to code
Demo application for the 'Jenkins: The Definitive Guide' book
Git plugin for Hudson
Source code examples for "API without Secrets: Introduction to Vulkan" tutorial
This is a test management framework written to Help Test Managers to create Test Plans, Test Cases, and Assign Test Cases to Individual Test Engineers in the Team.
A redesign of Alx's wordpress theme hueman, ported to Hexo.
Goal is to create a software pipeline to identify the lane boundaries in a video and write a detailed commentary on the output.
In this project, you will use what you've learned about deep neural networks and convolutional neural networks to clone driving behavior. You will train, validate and test a model using Keras. The model will output a steering angle to an autonomous vehicle.
This is my attempt to find lane lines - Udacity Course Finding Lane Lines
Vehicle detection using machine learning and computer vision techniques for Udacity's self-driving car course.
My personal blog site
@kputtur's README