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The Top 23 Machine Learning Amazon Web Services Open Source Projects

Open source projects categorized as Machine Learning Amazon Web Services
Categories > Cloud Computing > Amazon Web Services
Categories > Machine Learning > Machine Learning
Sagemaker Controller ⭐ 33
ACK service controller for Amazon SageMaker
total releases 34most recent commit 4 months ago
Deploy Ml Model ⭐ 33
Deploying a simple machine learning model to an AWS ec2 instance using flask and docker.
most recent commit 5 years ago
Yaetos ⭐ 32
Write data & AI pipelines in (SQL, Spark, Pandas) and deploy to the cloud, simplified
total releases 32most recent commit 4 months ago
Plz ⭐ 31
Say the magic word 😸
most recent commit 5 years ago
Awesome Aws Research ⭐ 30
A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources for Academic Researchers new to AWS
most recent commit 3 years ago
Document Processing Pipeline For Regulated Industries ⭐ 28
A boilerplate solution for processing image and PDF documents for regulated industries, with lineage and pipeline operations metadata services.
most recent commit 3 years ago
Amazon Lookout For Vision Demo ⭐ 27
A demo to test models trained by Amazon Lookout for Vision
most recent commit 4 months ago
Stylizeapp ⭐ 27
A flask website for style transfer
most recent commit 4 years ago
Aws Robomaker Sample Application Objecttracker ⭐ 25
Use AWS RoboMaker and demonstrate a simulation that can train a reinforcement learning model to make a TurtleBot WafflePi to follow a TurtleBot burger, and then Deploy via RoboMaker to the robot.
most recent commit 4 years ago
Fullstack Machine Learning Inference ⭐ 24
Fullstack machine learning inference template
most recent commit 5 months ago
Dashboard ⭐ 24
Project for managing ML model and deploying ML module. It can deploy the Rekcurd service to Kubernetes cluster.
total releases 13most recent commit 4 years ago
Project Mfoni ⭐ 23
Experiment for Mfoni app
most recent commit 4 months ago
Syntheticsun ⭐ 23
SyntheticSun is a defense-in-depth security automation and monitoring framework which utilizes threat intelligence, machine learning, managed AWS security services and, serverless technologies to continuously prevent, detect and respond to threats.
most recent commit 3 years ago
Quickstart Datalake Pariveda ⭐ 23
AWS Quick Start Team
most recent commit a year ago
Thepersonalmsds ⭐ 23
The Personal MS(DS) is an initiative to customize the Data Science Masters roadmap according to one's interests hence providing complete autonomy to the learner. The intuition behind #thepersonalmsds is to upgrade skills without formally enrolling into a Master's program at a University
most recent commit 3 years ago
Cloudtik ⭐ 23
Cloud Scale Platform for Distributed Analytics and AI
most recent commit 7 months ago
Vault ⭐ 22
Bring Your Own Storage, implement your own apps and scale your machine learning.
most recent commit 7 months ago
Appsync Image Rekognition ⭐ 22
React + AWS AppSync App for image recognition using AWS Lambda + Amazon Rekognition
most recent commit 4 years ago
Aws Mls C01 ⭐ 22
Resource files for my course on the AWS Machine Learning Specilty certification exam.
most recent commit 5 months ago
Data Science End To End ⭐ 22
A Respository to get you job ready as a Data Scientist
most recent commit a year ago
Ml_api_covid ⭐ 21
This is the API Code for my tutorial article. It paints a picture for developing a machine learning Python API from start to finish and provides help in more difficult areas like the setup with AWS Lambda.
most recent commit 3 years ago
Spot_price_machine_learning ⭐ 20
Machine Learning for Spot Prices
most recent commit 5 years ago
Awsbigdata ⭐ 20
AWS Big Data Certification
most recent commit 2 years ago
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