Pinned Repositories
AirSim
Open source simulator based on Unreal Engine for autonomous vehicles from Microsoft AI & Research
amazon-sagemaker-tensorflow-custom-containers
This project shows step-by-step guide on how to build a real-world flower classifier of 102 flower types using TensorFlow, Amazon SageMaker, Docker and Python in a Jupyter Notebook.
courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
datasciencecoursera
Repository for Coursera course: The Data Scientist's Toolbox
DataScienceSpCourseNotes
Compiled Notes for all 9 courses in the Coursera Data Science Specialization
datasharing
The Leek group guide to data sharing
DeepLearnToolbox
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
deepracer-k1999-race-lines
Race-line calculation of a DeepRacer track
deepracer-race-data
Historical data on AWS DeepRacer League virtual races
Design-Patterns-In-Swift
Design Patterns implemented in Swift
dssp301's Repositories
dssp301/AirSim
Open source simulator based on Unreal Engine for autonomous vehicles from Microsoft AI & Research
dssp301/amazon-sagemaker-tensorflow-custom-containers
This project shows step-by-step guide on how to build a real-world flower classifier of 102 flower types using TensorFlow, Amazon SageMaker, Docker and Python in a Jupyter Notebook.
dssp301/courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
dssp301/datasciencecoursera
Repository for Coursera course: The Data Scientist's Toolbox
dssp301/DataScienceSpCourseNotes
Compiled Notes for all 9 courses in the Coursera Data Science Specialization
dssp301/datasharing
The Leek group guide to data sharing
dssp301/DeepLearnToolbox
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
dssp301/deepracer-k1999-race-lines
Race-line calculation of a DeepRacer track
dssp301/deepracer-race-data
Historical data on AWS DeepRacer League virtual races
dssp301/Design-Patterns-In-Swift
Design Patterns implemented in Swift
dssp301/diamondpricer
dssp301/django-aws-billing
Django AWS Usage/Billing Package.
dssp301/dsci-benchmark
R scripts for benchmarking next word prediction algorithms developed for the Coursera Data Science Capstone Project.
dssp301/Dshell
Dshell is a network forensic analysis framework.
dssp301/ExData_Plotting1
Plotting Assignment 1 for Exploratory Data Analysis
dssp301/fastai
The fast.ai deep learning library, lessons, and tutorials
dssp301/Getting-and-Cleaning-Data
Getting and Cleaning Data Project
dssp301/ios-nanodegree-uikit
dssp301/leaflet
Leaflet mapping
dssp301/notradeshere
dssp301/PML
Practical Machine Learning
dssp301/ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
dssp301/RepData_PeerAssessment1
Peer Assessment 1 for Reproducible Research
dssp301/test1
The a rest repository for learning how to use Github