Tutorials#

All of our Jupyter Notebook tutorials are directly accessible via Binder. At Aidge, we’re all about providing state-of-the-art, proven and reusable tools. This Binder integration means you get a ready-to-use environment right in your browser, making our code immediately reproducible for everyone, everywhere.

To get started with Aidge, follow the Aidge demonstration tutorial. This tutorial covers the basic features of the Aidge framework, including importing an ONNX model, transforming a neural network graph, running inference, and exporting to C++.

Aidge demonstration

Understanding Aidge Intermediate Representation (IR)

🛠 Aidge functionalities#

Data provider tutorial

Graph matching and manipulation

Understanding Aidge’s scheduling

Training a simple Neural Network

Aidge ONNX tutorial

Backend CUDA example

🔍 Analysis tutorials#

Aidge Model Explorer

Static analysis of neural network computation graphs using Aidge

Benchmarking tool

⚙️ Optimization tutorials#

Post-Training Quantization with Aidge

Horizontal tiling of convolutions with Aidge

🚀 Export tutorials#

LeNet CPP Export

Quantized LeNet CPP Export

Add a custom operator to the CPP Export

TensorRT export

If you encounter any difficulties with the tutorials, please create an issue here.