pytorch-patterns

PyTorch Development Patterns Idiomatic PyTorch patterns and best practices for building robust, efficient, and reproducible deep learning applications. When to Activate Writing new PyTorch models or training scripts Reviewing deep learning code Debugging training loops or data pipelines Optimizing GPU memory usage or training speed Setting up reproducible experiments Core Principles 1. Device-Agnostic Code Always write code that works on both CPU and GPU without hardcoding devices. Show more Installs 1.6K Repository affaan-m/ecc GitHub Stars 239.2K First Seen May 19, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Pass