A set of Jupyter notebooks to analyze the performance of a DeepRacer model.
-
Updated
Nov 10, 2024 - Jupyter Notebook
A set of Jupyter notebooks to analyze the performance of a DeepRacer model.
AWS DeepRacer Free Student Workshop: Run faster by using your custom waypoints. Step by Step to learn reinforcement learning,
Use AWS RoboMaker and demonstrate running a simulation which trains a reinforcement learning (RL) model to drive a car around a track
Udacity AWS ML Foundations Scholarship Course Walkthrough
Interactive detailed analysis tool for AWS DeepRacer logs
This framework makes it easier to create and maintain reward functions for AWS DeepRacer, so you spend more time on machine learning rather than writing lots of Python code! It provides geometry functions and numerous observations not available in DeepRacer itself, such as the ACTUAL SPEED of the car.
A hands on reinforcement machine learning bootcamp, created for Summer of Tech NZ. Designed to be run over a two hour session.
Worksheet and Utilities for AWS DeepRacer – one of the most exciting ways of building strong skills in reinforcement learning and through a hands-on approach. This repository offers: 1) Functionally-rich and flexible reward function 2) Utilities with Jupiter notes for Racing Line calculation and visualisation of track 3) Scripts to parse RoboMak…
Private fork of DeepRacer-for-Cloud; master has been moved upstream.
Some of my reward functions and analysis that helped me throughout my learning
My AWS DeepRacer reward functions and some analysises
Some tools for AWS Deepracer
Steps to setup and train a DeepRacer model on Mac OSX using CPU
AWS Maching Learning Foundations Scholarship
The fastest way to get rolling with machine learning on AWS. Workshop completed at re:Invent 2018 🚙 🚗
Add a description, image, and links to the deepracer topic page so that developers can more easily learn about it.
To associate your repository with the deepracer topic, visit your repo's landing page and select "manage topics."