aws-samples / amazon-sagemaker-brain-segmentation
A Jupyter notebook w/ script demonstrating how to train an Apache MXNet model for Brain Segmentation on SageMaker using the OASIS dataset
☆17Updated 4 years ago
Alternatives and similar repositories for amazon-sagemaker-brain-segmentation:
Users that are interested in amazon-sagemaker-brain-segmentation are comparing it to the libraries listed below
- Reference implementation on labeling video frames using Amazon Rekognition. The repo also contains some OpenCV based video utilities for …☆39Updated 5 years ago
- This tutorial walks you through how to implement a sentiment analysis model to classify movie reviews as either 'Positive' or 'Negative' …☆23Updated 6 years ago
- Examples showing use of NGC containers and models withing Amazon SageMaker☆17Updated 2 years ago
- Learn how to build an end-to-end streaming architecture to ingest, analyze, and visualize streaming data in near real-time☆34Updated 2 years ago
- ☆11Updated 4 years ago
- Notebook from the Deep Learning Twitch Series on AWS (https://twitch.tv/aws)☆38Updated 7 years ago
- Visual search implementation resources, including an explanatory Jupyter notebook and Amazon SageMaker and AWS DeepLens code.☆65Updated 3 years ago
- This solution provides a framework for Next Generation Sequencing (NGS) genomics secondary-analysis pipelines using AWS Step Functions an…☆39Updated last year
- An AWS Lambda package including two functions to dynamically maintain a security partition around a group of AWS resources which originat…☆12Updated 6 years ago
- SAM application containing a feature toggle management solution based on Amazon API Gateway WebSocket APIs, AWS Lambda functions, and AWS…☆14Updated 3 years ago
- This construct builds some elements for you to quickly launch an EMR Serverless application. After submitting the Emr Serverless job, you…☆11Updated this week
- This guidance creates a scalable environment in AWS to prepare genomic, clinical, mutation, expression and imaging data for large-scale a…☆24Updated last year
- Train and deploy models using TensorFlow 2 with the Object Detection API on Amazon SageMaker☆46Updated last year
- Sample data conversion pipeline for importing data into Amazon Personalize.☆19Updated 6 years ago
- Content consists of Jupyter Notebook tutorials walking through deep learning Frameworks (MXNet, Gluon) to Platforms (SageMaker, DeepLens)…☆26Updated 7 years ago
- A self-paced workshop designed to allow you to get hands on with building a real-time data platform using serverless technologies such as…☆22Updated 6 years ago
- CloudFormation templates and scripts demonstrating how to build a promotion recommendation system using Kinesis and SageMaker.☆28Updated 7 years ago
- Code to support Databases blog post - How to offload data from your transactional NoSQL database to Amazon S3, perform advanced analytics…☆14Updated 5 years ago
- ☆30Updated 2 months ago
- ☆25Updated 6 years ago
- Facebook's Deep Fake Detection Challenge on Kaggle with AWS☆28Updated 5 years ago
- Genomic BigData Warehousing with Apache Spark and LakeHouse Architecture☆11Updated 2 years ago
- AWS CDK to create a CloudFront distribution with a request Lambda to allow single use signed URL file downloads. Each file is tracked by …☆16Updated 3 years ago
- MOVIS: A Multi-Omics Software Solution for Multi-modal Time-Series Clustering, Embedding, and Visualizing Tasks, by Aleksandar Anžel, Dom…☆10Updated 2 years ago
- ☆14Updated last year
- Operational Data Processing Framework developed using AWS Glue and Apache Hudi. This framework is suitable for Data Lake and Modern Data …☆21Updated last year
- This workshop walks you through creating a smart image cropping rekognition powered twitter bot.☆57Updated 2 years ago
- ☆25Updated 4 years ago
- A command-line tool that automates several common multi-step operations in the IoT and related services.☆16Updated last year
- ☆52Updated 6 years ago