pytorch

What problem does it solve?

This Skill provides a robust framework for building and training deep learning models using PyTorch and Lightning, specifically for anomaly detection and time series forecasting.

Core Features & Use Cases

• Anomaly Detection: Implements an autoencoder for identifying unusual patterns in sensor data.
• Time Series Forecasting: Utilizes a Transformer model for predicting future trends.
• Data Handling: Includes custom PyTorch Datasets and Lightning DataModules for efficient data loading and preprocessing.
• Use Case: Deploy this skill to monitor industrial sensor data, predict equipment failures before they happen, and forecast demand for inventory management.

Quick Start

Train a PyTorch anomaly detection model using the provided sensor data located at '/path/to/sensor_data.npz'.