sagemaker-feature-store-real-time-recommendations VS fraud-detection-using-machine-learning

Compare sagemaker-feature-store-real-time-recommendations vs fraud-detection-using-machine-learning and see what are their differences.

sagemaker-feature-store-real-time-recommendations

Build a real-time recommendation engine for an e-commerce website leveraging SageMaker Feature Store as a core component of the solution. (by aws-samples)
sagemaker feature-store feature-store-online Kinesis kinesis-data-streams kinesis-data-analytics Lambda
Source Code
Suggest alternative
Edit details

fraud-detection-using-machine-learning

Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker (by awslabs)
fraud-detection sagemaker aws-sagemaker sagemaker-example Machine Learning Deep Learning Xgboost
Source Code
Suggest alternative
Edit details
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
sagemaker-feature-store-real-time-recommendations fraud-detection-using-machine-learning
1 7
29 248
- 0.0%
0.0 1.8
over 1 year ago almost 3 years ago
Jupyter Notebook Jupyter Notebook
MIT No Attribution Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

sagemaker-feature-store-real-time-recommendations

Posts with mentions or reviews of sagemaker-feature-store-real-time-recommendations. We have used some of these posts to build our list of alternatives and similar projects.
  • ITS URGENT!!!
    1 project | /r/aws | 17 Aug 2023
    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

fraud-detection-using-machine-learning

Posts with mentions or reviews of fraud-detection-using-machine-learning. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing sagemaker-feature-store-real-time-recommendations and fraud-detection-using-machine-learning you can also consider the following projects:

aws-lambda-docker-serverless-inference - Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.

hugging-face-workshop - A 90-minute hands on workshop about Hugging Face on SageMaker.

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

eli5 - A library for debugging/inspecting machine learning classifiers and explaining their predictions

featureform - The Virtual Feature Store. Turn your existing data infrastructure into a feature store.

demo-fraud-detection-with-p2p - Exploring Neo4j and Graph Data Science for Fraud Detection

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.

serverless-ml-course - Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features

PulmoLens - aws-powered deep-learning pneumonia detection model deployed as a serverless rest-api 🤖🫁

sagemaker-feature-store-real-time-recommendations vs aws-lambda-docker-serverless-inference fraud-detection-using-machine-learning vs hugging-face-workshop sagemaker-feature-store-real-time-recommendations vs amazon-sagemaker-examples fraud-detection-using-machine-learning vs eli5 sagemaker-feature-store-real-time-recommendations vs featureform fraud-detection-using-machine-learning vs demo-fraud-detection-with-p2p sagemaker-feature-store-real-time-recommendations vs hugging-face-workshop fraud-detection-using-machine-learning vs SagemakerHuggingfaceDashboard sagemaker-feature-store-real-time-recommendations vs serverless-ml-course fraud-detection-using-machine-learning vs PulmoLens fraud-detection-using-machine-learning vs amazon-sagemaker-examples fraud-detection-using-machine-learning vs aws-lambda-docker-serverless-inference