drscott173 Goto Github PK
Name: Scott Penberthy
Type: User
Company: Google
Bio: I spend my time turning Machine Learning dreams into astonishing realities on Wall Street.
Location: New York
Name: Scott Penberthy
Type: User
Company: Google
Bio: I spend my time turning Machine Learning dreams into astonishing realities on Wall Street.
Location: New York
Simple fusion of Lidar and Radar sensors using a linear Kalman filter
Localization assignment from Udacity's self-driving engineer nanodegree, 2nd semester
Project 1 of Self Driving Car Degree
Write a model prediction controller in C++ to control a simulated car on riding on track - Udacity
Particle filter for a self-driving car
Write a simple path planner in C++ for controlling a simulated self-driving car
PID controller for car navigation
Semantic Segmentation project of Udacity's Nanodegree
An unscented Kalman Filter
Udacity's project for detecting vehicles, copied here for convenience with all test images
The first assignment from Udacity's deep learning nanodegree
Create 256x256 QuickLook icons from source files
Create a PNG icon file from a filename using Quicklook on Mac
Jupyterhub on kubernetes with GPUs.
Sensior fusion using the Kalman filter
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.
Automatically exported from code.google.com/p/liqwid
Capstone project for my Udacity Machine Learning Nanodegree
Create PNG images from the clipboard - command line program
Advanced lane detection using computer vision techniques
Create a deep learning network to ghost ride a car by mimic-ing my own behavior in a simulator
Keras version of using tensorflow to identify german street signs
Traffic signs assignment for the self-driving car nanodegree at Udacity
Detect vehicles on the road using a Histogram of Gradients and computer vision techniques
spaceml
Sensior fusion using the Kalman filter
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Code associated with the Machine Learning nanodegree at Udacity
Jupyterlab extension "hello world"
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.