A machine learning solution for identifying fraudulent credit card transactions using anomaly detection. Implements: 🔹 Isolation Forest (scikit-learn) 🔹 Autoencoder (PyTorch) 🔹 Handles class ...

Abstract: The variational autoencoder (VAE) has proven highly effective in monitoring nonlinear stochastic processes, primarily under the assumption of complete and temporally independent data.

The Torch-MLIR project aims to provide first class compiler support from the PyTorch ecosystem to the MLIR ecosystem. This project is participating in the LLVM Incubator process: as such, it is not ...