fraud-detection-using-machine-learning
sagemaker-feature-store-real-time-recommendations
fraud-detection-using-machine-learning | sagemaker-feature-store-real-time-recommendations | |
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7 | 1 | |
248 | 29 | |
0.0% | - | |
1.8 | 0.0 | |
almost 3 years ago | over 1 year ago | |
Jupyter Notebook | Jupyter Notebook | |
Apache License 2.0 | MIT No Attribution |
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fraud-detection-using-machine-learning
sagemaker-feature-store-real-time-recommendations
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ITS URGENT!!!
Can anyone help in running a code on sagemaker? Its a repository hosted on aws-samples still its not running our base is that code if that doesn't work we cant make a project. I have an aws account. https://github.com/aws-samples/sagemaker-feature-store-real-time-recommendations
What are some alternatives?
hugging-face-workshop - A 90-minute hands on workshop about Hugging Face on SageMaker.
aws-lambda-docker-serverless-inference - Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.
eli5 - A library for debugging/inspecting machine learning classifiers and explaining their predictions
amazon-sagemaker-examples - Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
demo-fraud-detection-with-p2p - Exploring Neo4j and Graph Data Science for Fraud Detection
featureform - The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
SagemakerHuggingfaceDashboard - This is a solution that demonstrates how to train and deploy a pre-trained Huggingface model on AWS SageMaker and publish an AWS QuickSight Dashboard that visualizes the model performance over the validation dataset and Exploratory Data Analysis for the pre-processed training dataset.
PulmoLens - aws-powered deep-learning pneumonia detection model deployed as a serverless rest-api 🤖🫁
serverless-ml-course - Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features