#
sagemaker
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Continuous Machine Learning Training and Deployment on AWS SageMaker
python
cli
aws
data-science
machine-learning
deep-learning
continuous-integration
cntk
tensorflow
scikit-learn
continuous-deployment
keras
pytorch
machine-learning-production
sagemaker
machine-learning-deploy
deep-learning-deploy
deep-learning-production
continuous-training
cd4ml
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Feb 22, 2020 - Python
Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https://github.com/aws/deep-learning-containers.
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Aug 27, 2020 - Python
A Spark library for Amazon SageMaker.
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Sep 14, 2020 - Scala
Deep Learning Summer School + Tensorflow + OpenCV cascade training + YOLO + COCO + CycleGAN + AWS EC2 Setup + AWS IoT Project + AWS SageMaker + AWS API Gateway + Raspberry Pi3 Ubuntu Core
raspberry-pi
opencv
iot
computer-vision
tensorflow
keras
coco
aws-ec2
ec2-instance
aws-iot
opencv-library
generative-adversarial-networks
raspberry-pi-3
opencv3
cyclegan
haarcascade
sagemaker
yolo-model
ubuntucore
aws-sagemaker
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Updated
Dec 13, 2019 - Jupyter Notebook
3D Dense Connected Convolutional Network (3D-DenseNet for action recognition)
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Nov 25, 2018 - Python
Amazon SageMaker operator for Kubernetes
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Sep 16, 2020 - Go
Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://github.com/aws/deep-learning-containers.
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Aug 31, 2020 - Python
Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.
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Aug 19, 2020 - Python
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Oct 8, 2018 - Jupyter Notebook
IvyBazan
commented
Aug 5, 2020
Checklist
- I've prepended issue tag with type of change: [feature]
Concise Description:
Add information on creating custom PyTorch images.
Describe the solution you'd like
Documentation outlining the steps needed to create custom PyTorch images.
Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.
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Aug 29, 2020 - Python
Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker
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Aug 12, 2020 - Jupyter Notebook
Toolkit for running MXNet training scripts on SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https://github.com/aws/deep-learning-containers.
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Sep 14, 2020 - Python
Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors
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Sep 17, 2020 - Python
Sagemaker pipeline for AWS Summit New York
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Jan 7, 2020 - Python
A collection of localized (Korean) AWS AI/ML workshop materials for hands-on labs.
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Mar 10, 2020 - Jupyter Notebook
This code is used to build & run a Docker container for performing predictions against a Spark ML Pipeline.
machine-learning
spark
pipeline
sparkml
inference
serving
sagemaker
mleap
inference-pipeline
mleap-serialized-spark
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Aug 12, 2020 - Java
Amazon SageMaker Solution for explaining credit decisions.
machinelearning
financial-analysis
credit-scoring
explainable-ai
explainable-ml
sagemaker
loan-prediction-analysis
shapley
explainability
aws-sagemaker
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Updated
Sep 3, 2020 - Python
Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events
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Sep 14, 2020 - Python
Consulting Project with Manifold.co: Modeling System Resource Usage for Predictive Scheduling
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Jul 8, 2018 - Jupyter Notebook
Predictive Maintenance for Vehicle Fleets
deep-learning
predictive
maintenance
vehicles
automobile
predictive-maintenance
sagemaker
aws-sagemaker
sagemaker-example
fleets
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Updated
Sep 3, 2020 - Python
A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources for Academic Researchers new to AWS
kubernetes
aws
machine-learning
cloud
research
hpc
containers
aws-s3
cloud-management
cloud-computing
aws-ec2
aws-batch
cost-optimization
sagemaker
control-tower
landing-zone
eks
robomaker
parallelcluster
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Jan 23, 2020
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.
iot
machine-learning
workshop
workshop-materials
predictive-modeling
polly
iot-cloud
greengrass
predictive-maintenance
sagemaker
sagemaker-deployment
sagemaker-neo
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Jun 4, 2020 - Jupyter Notebook
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In more managed environments, you don't always have the flexibility to create your own IAM role versus use the one that is assigned to you. Spotty should have the ability to use an already existing IAM role if it has the right permissions.
Opening this as an issue so I can keep track of it, I'll be submitting a pull request next week likely.