Through the utilization of a deep learning model, specifically a Big Transfer (BiT) combined with graph Laplacian-based data cleaning and weight initialization based-rectified linear unit (WIB-Relu) ...

Highly flexible foundation models like artificial neural networks are imperative in medical practice, enabling diverse tasks with little or no task-specific labeled data. The crucial problem remains ...

🚀 The feature, motivation and pitch Summary Currently, torch's FSDP2 (Fully Sharded Data Parallel 2) does not support having multiple different data types (dtypes) for parameters within the same ...

I would like to report some persistent and hard-to-diagnose issues when running neural time series models (especially Darts TCNModel and similar) on Windows using the latest PyTorch + CUDA builds, ...