YuweiYin/FinPT
FinPT: Financial Risk Prediction with Profile Tuning on Pretrained Foundation Models
This project helps financial professionals assess risks like loan defaults, credit card fraud, or customer churn more accurately. It takes structured financial data (like transaction history or credit scores) and converts it into natural-language customer profiles. These profiles are then used with advanced AI models to predict potential risks, providing actionable insights for decision-makers in finance.
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Use this if you need to improve the accuracy of your financial risk predictions, such as identifying potential loan defaults, detecting credit card fraud, or forecasting customer churn, by leveraging modern AI techniques.
Not ideal if you primarily work with unstructured financial data like news articles or social media for sentiment analysis, or if you need a simple, off-the-shelf solution without any technical setup.
Stars
39
Forks
11
Language
Python
License
MIT
Category
Last pushed
Mar 07, 2024
Commits (30d)
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