#
sagemaker
Here are 187 public repositories matching this topic...
Training deep learning models on AWS and GCP instances
-
Updated
Jul 25, 2020 - Python
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
-
Updated
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.
-
Updated
Aug 6, 2020 - Python
A Spark library for Amazon SageMaker.
-
Updated
Aug 10, 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
-
Updated
Dec 13, 2019 - Jupyter Notebook
3D Dense Connected Convolutional Network (3D-DenseNet for action recognition)
-
Updated
Nov 25, 2018 - Python
Amazon SageMaker operator for Kubernetes
-
Updated
Aug 13, 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.
-
Updated
Jul 22, 2020 - Python
-
Updated
Oct 8, 2018 - Jupyter Notebook
Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.
-
Updated
Aug 4, 2020 - Python
Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.
-
Updated
Aug 12, 2020 - Python
Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker
-
Updated
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.
-
Updated
Jul 27, 2020 - Python
Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors
-
Updated
Aug 13, 2020 - Python
Sagemaker pipeline for AWS Summit New York
-
Updated
Jan 7, 2020 - Python
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
-
Updated
Aug 13, 2020 - Python
A collection of localized (Korean) AWS AI/ML workshop materials for hands-on labs.
-
Updated
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
-
Updated
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
-
Updated
Jun 8, 2020 - Python
Consulting Project with Manifold.co: Modeling System Resource Usage for Predictive Scheduling
-
Updated
Jul 8, 2018 - Jupyter Notebook
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
-
Updated
Jan 23, 2020
2019 AWS Certified Machine Learning – Study Notes
aws
machine-learning
cloud
deep-learning
ec2
study
mooc
artificial-intelligence
neural-networks
linux-academy
aws-certification
study-notes
study-materials
aws-learning
sagemaker
-
Updated
Sep 20, 2019
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
-
Updated
Jun 4, 2020 - Jupyter Notebook
This Repo Contains Deployment of Machine Learning Models on various cloud services like Azure, Heroku, AWS,GCP etc
docker
dockerfile
aws
devops
machine-learning
deployment
chef-cookbook
azure
gcp
configuration-management
cloud-computing
heroku-deployment
azure-app-service
sagemaker
github-actions
-
Updated
Jun 28, 2020 - JavaScript
Improve this page
Add a description, image, and links to the sagemaker topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the sagemaker topic, visit your repo's landing page and select "manage topics."