hugging-face-workshop
fraud-detection-using-machine-learning
| hugging-face-workshop | fraud-detection-using-machine-learning | |
|---|---|---|
| 1 | 7 | |
| 26 | 248 | |
| - | 0.0% | |
| 0.0 | 1.8 | |
| about 2 years ago | almost 3 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| Apache License 2.0 | Apache License 2.0 |
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hugging-face-workshop
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NLP@AWS Newsletter 04/2022
Hugging Face on Amazon SageMaker and AWS Workshop Interested to use NLP to generate models in the style of your favourite poets? This workshop shows you how you can fine tune text generation models in the style of your favourite poets using Hugging Face on Amazon SageMaker.
fraud-detection-using-machine-learning
What are some alternatives?
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
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 🤖🫁
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.