Get Started with autograd

Automatic differentiation for native Torch code inspired by Python's autograd.

Getting Started

The autograd team maintains comprehensive docs that cover installation, configuration, and common patterns.

autograd offers a free tier — sign up to get started without any payment.

Our full tool profile covers autograd's strengths, weaknesses, pricing, and how it compares to alternatives.

Researchers working on deep learning projects who need to implement complex neural network architectures with automatic differentiation

Developers building models in a Torch environment and requiring efficient gradient computation for optimization