scaledinferance Goto Github PK

aim368-notebooks

amazon-rekognition-custom-labels-demo

A demo to test Custom Labels with models trained by Amazon Rekognition

amazon-rekognition-video-analyzer

A working prototype for capturing frames off of a live MJPEG video stream, identifying objects in near real-time using deep learning, and triggering actions based on an objects watch list.

amazon-sagemaker-aws-greengrass-custom-object-detection-model

End to end code samples for training an object detection model in Amazon SageMaker using the built-in SSD algorithm and running it on AWS IoT Greengrass.

amazon-sagemaker-examples

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

amazon-sagemaker-predictive-maintenance-deployed-at-edge

This workshop will familiarize you with some of the key steps towards building an end-to-end predictive maintenance system leveraging Amazon SageMaker, Amazon Polly and the AWS IoT suite.

amazon-transcribe-comprehend-podcast

A demo application that transcribes and indexes podcast episodes so the listeners can explore and discover episodes of interest and podcast owners can do analytics on the content over time. This solution leverages Amazon Transcribe, Amazon Comprehend, Amazon ElasticSearch AWS Step Functions and AWS Lambda.

aws-deepcomposer-samples

aws-deeplens-coffee-leaderboard

The code is meant to be shared via a blog post. We build a demo that uses the AWS DeepLens and tracks the number of coffees people drink throughout the day. Alongside the DeepLens, we also built a Flask application that displays that leaderboard.

aws-deeplens-reinvent-2019-workshops

aws-iot-analytics-workshop

AWS IOT Analytics Workshop

aws-iot-device-management-workshop

AWS IoT Device Management makes it easy to securely onboard, organize, monitor, and remotely manage IoT devices at scale. With this workshop your will learn hands-on the features from AWS IoT Device Management like several onboarding options, jobs, fleet indexing, thing groups and fine grained logging.

aws-iot-greengrass-edge-analytics-workshop

Workshop to showcase how to perform IoT data analytics at the edge using AWS IoT Greengrass.

aws-reinvent-2019-mobile-workshops

AWS re:Invent 2019 Mobile Workshops

aws_sagemaker-end_to_end_pipelineamazon-sagemaker-keras-text-classification

A step-by-step guide that shows how to do text classification by run training/inference for a custom model in Amazon SageMaker

bmw-yolov3-training-automation

This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. Training with YOLOv3 has never been so easy.

botbuilder-samples

Welcome to the Bot Framework samples repository. Here you will find task-focused samples in C#, JavaScript and TypeScript to help you get started with the Bot Framework SDK!

coco-annotator

:pencil2: Web-based image segmentation tool for object detection, localization and keypoints

connected-drink-dispenser-workshop

Code and walk-through to assemble, program and build a multi-user Amazon FreeRTOS and AWS IoT enabled drink dispenser.

deploy-tf-to-cloud-edge-aws-workshop

Lab for TF world session

ecs-demo-php-simple-app

A simple PHP sample application http://aws.amazon.com/ecs

firebaseui-web

FirebaseUI is an open-source JavaScript library for Web that provides simple, customizable UI bindings on top of Firebase SDKs to eliminate boilerplate code and promote best practices.

full_ml_end_2_end_aim368-instructions

iot403_2019_anomaly_detection

keras-retinanet

Keras implementation of RetinaNet object detection.

pifuhd

High-Resolution 3D Human Digitization from A Single Image.

reinvent2019-aim362-sagemaker-debugger-model-monitor

remars2019-revegas-workshop

simplebeerservice

Simple Beer Service (SBS) is a cloud-connected kegerator that streams live sensor data to AWS.

streaming-analytics-workshop

Learn how to build an end-to-end streaming architecture to ingest, analyze, and visualize streaming data in near real-time