This repository outlined how to implement MLOps practice on AWS Cloud using Amazon SageMaker.
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Updated
Jan 7, 2024 - Jupyter Notebook
This repository outlined how to implement MLOps practice on AWS Cloud using Amazon SageMaker.
Jupyter notebooks to help team members utilize AWS SageMaker tools
Goal: Develop Machine Learning aplication in a distributed environment using AWS services with Spark.
Run Multiple Models on the Same GPU with Amazon SageMaker Multi-Model Endpoints Powered by NVIDIA Triton Inference Server. A Java client is also provided.
A "Hello world" project on how implement your own ML Model in AWS Sagemaker.
fun project to train and deploy a text classification model over Women's e-commerce CLothing reviews
Sample code to run Amazon SageMaker endpoint for inference with a ready model from Tensorflow Hub
Example of how to use word embedding with BlazingText algorithm in Amazon SageMaker on entire contents of wikipedia for a foreign language (Hebrew).
A small collection of custom kernels for running Sagemaker Notebooks an Training Jobs
The repository contains projects and tutorials completed as a part of Udacity Machine Learning Engineer Nanodegree
Machine Learning on AWS using various methods/examples
This is a template for deploying a FastAPI endpoint on AWS SageMaker.
A PyTorch RNN model for Sentiment Analysis deployed with AWS SageMaker
Amazon SageMaker DeepAR Spanish Workshop
Workshop to create a visual search engine using Amazon SageMaker and Amazon OpenSearchService
An end-to-end example of a serverless machine learning pipeline for multiclass classification on AWS with SageMaker Pipelines, Data Wrangler, Athena and XGBoost.
Fasttext container for Amazon Sage Maker
Workshop CDK Template to provision infra for the Deep Visual Search workshop
Simple guide to use tf.estimator and deploy to AWS SageMaker (after training with your GPU)
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