sagemaker

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Probabilistic time series modeling in Python

A library for training and deploying machine learning models on Amazon SageMaker

AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.

Training deep learning models on AWS and GCP instances

MLOps for AWS SageMaker

Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.

Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...

Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!

A Spark library for Amazon SageMaker.

Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https://github.com/aws/deep-learning-containers.

Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.

Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.

Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker

Become a Certified Unicorn Developer and Participant in the API Token Economy

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

Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://github.com/aws/deep-learning-containers.

Amazon SageMaker Local Mode Examples

Sample code for AWS data service and ML courses on LinkedIn Learning

Amazon SageMaker operator for Kubernetes