GreenGuardian VS fraud-detection-using-machine-learning

Compare GreenGuardian vs fraud-detection-using-machine-learning and see what are their differences.

GreenGuardian

creating a greener globe with object detection models and batch transformation pipelines 🤖💚 (by akkik04)

fraud-detection-using-machine-learning

Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker (by awslabs)
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GreenGuardian fraud-detection-using-machine-learning
6 7
2 248
- 0.0%
8.0 1.8
6 months ago almost 3 years ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 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.
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GreenGuardian

Posts with mentions or reviews of GreenGuardian. We have used some of these posts to build our list of alternatives and similar projects.

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 GreenGuardian and fraud-detection-using-machine-learning you can also consider the following projects:

pytorch-serving-workshop - Slides and notebook for the workshop on serving bert models in production

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

BentoML - The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference Graph/Pipelines, Compound AI systems, Multi-Modal, RAG as a Service, and more!

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

mlops-course - Learn how to design, develop, deploy and iterate on production-grade ML applications.

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 🤖🫁

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

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.