AnalysisOfMlModelDeploymentOptions

This paper compares Flask, FastAPI, and TorchServe for deploying PyTorch models. Flask is simple, FastAPI adds performance, and TorchServe is best for large-scale production. FastAPI is ideal for small deployments, while TorchServe suits complex environments. AWS Lambda is suggested for advanced use cases.

DefaultProbabilityPredictions

This project predicts corporate default probability using sentiment analysis of annual reports and financial data from U.S. companies. Key steps included data preprocessing, textual analysis, feature selection, and testing machine learning models. A Random Forest classifier was identified as the best model, trained, optimized, and exported for use.

VolatiltiyCalculations

This project, from the University of St. Gallen, explores volatility indices, focusing on VSTOXX and MSCI World calculations using Python, and volatility derivatives modeling with R. It includes tools for financial analysis and trading strategies, referencing key literature.