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amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

aws-deepracer-camera-pkg

The DeepRacer Camera ROS package creates the camera_node that is responsible for reading the raw data from the one/two cameras connected to the USB slots at the front of the AWS DeepRacer device and publishing them as CameraMsg.

aws-deepracer-i2c-pkg

The DeepRacer I2C ROS package creates the battery_node that is responsible for providing the vehicle battery level information.

aws-deepracer-inference-pkg

The DeepRacer Inference ROS package creates the inference_node that is responsible for running the inference on the machine learning model that is selected using the Intel OpenVino Inference Engine APIs.

aws-deepracer-interfaces-pkg

The DeepRacer Interfaces ROS package is a foundational package that creates the custom service and message types that are used in the core AWS DeepRacer application.

aws-deepracer-model-optimizer-pkg

The DeepRacer Model Optimizer ROS package creates the model_optimizer_node that is responsible for running the Intel OpenVino Model Optimizer script on the DeepRacer reinforcement learning models to obtain the optimized artifacts.

aws-deepracer-navigation-pkg

The DeepRacer Navigation ROS package creates the deepracer_navigation_node that is responsible for collecting the RL model inference results and mapping it to the servo message based on the action space for the particular model selected.

aws-deepracer-sensor-fusion-pkg

The DeepRacer Sensor Fusion ROS package creates the sensor_fusion_node that is responsible for collecting the messages from all the sensors (Camera+LiDAR) and publish the combined sensor message.

aws-deepracer-servo-pkg

The DeepRacer Servo ROS package creates the servo_node that is responsible to map the input servo throttle and steering angle messages to raw PWM values to move the car.

aws-deepracer-systems-pkg

The DeepRacer Systems ROS package creates the software_update_node, model_loader_node, otg_control_node, network_monitor_node which are responsible for managing system level functionalities required in the DeepRacer application.

bmi160-i2c

WIP lib to communicate with the BMI160 accel/gyro sensor with the raspberry pi i2c in python

deepracer-build

A utility repository linking together the different DeepRacer components for development / build purposes.

deepracer-devel

ROS2 Workspace for DeepRacer Development

deepracer-for-cloud

Private fork of DeepRacer-for-Cloud; master has been moved upstream.

deepracer-pi

A port of the DeepRacer software stack for the Raspberry Pi 4.

deepracer-scripts

deepracer-viz

Visualizations for AWS DeepRacer videos

flightsimdisplay

Using Arduino to create the display part of a pseudo Flight Control Unit for Microsoft Flight Simulator 2020.

guidance-for-aws-deepracer-event-management

The AWS DeepRacer Event Manager (DREM) is used to run and manage all aspects of in-person events for AWS DeepRacer, an autonomous 1/18th scale race car designed to test reinforcement learning (RL) models by racing on a physical track.

image_pipeline

An image processing pipeline for ROS.

larsll-deepracer-imu-pkg

The DeepRacer IMU ROS package provides data from the built-in Inertial Measurement Unit.

larsll-deepracer-incar-video-pkg

The DeepRacer In-Car Video ROS package provides an annotated video stream from inside the car.

larsll-deepracer-logging

Package is used to monitor a specific DeepRacer ROS topic and to write to a bag for later investigation.

sagemaker-containers

This support code is used for making machine learning frameworks (e.g. MXNet, TensorFlow) run on Amazon SageMaker.

sagemaker-tensorflow-container

This support code is used for making the TensorFlow framework run on Amazon SageMaker.