Tutorials
Learn how to use Orion with tutorials. We encourage you to contribute by sharing your own tutorial.
For this particular tutorial, we will build a Closed-Form Multiple Linear Regression algorithm and use it to forecast AAVE's (WETH Pool) future projected Lifetime Repayments as a practical example. Towards the second half-end of the tutorial, we will convert the model to Cairo enabling us to make the entire MLR system as well as the forecasts fully provable & verifiable.
December 21, 2023 - Bem Baraki
The Principal Component Analysis (PCA) method is an unsupervised learning algorithm that aims to reduce the dimensionality of a dataset consisting of a large number of interrelated variables, while at the same time preserving as much of the variation present in the original dataset as possible.
December 12, 2023 - Dataonchain
This tutorial will guide you through implementing your first fully verifiable support vector machine model in Cairo using the Orion framework.
September 26, 2023 - 0xd3bs
This tutorial will guide you through implementing your first fully verifiable linear regression model in Cairo using the Orion framework. It covers replicating a basic linear regression model from Python to Cairo utilizing the Orion library.
August 16, 2023 - Bem Baraki
Would you like to contribute? This is a step-by-step guide to show you how to implement new operators in Orion.
June 23, 2023 - Raphael Doukhan
In this tutorial, you will be guided on how to train your model using Quantized Aware Training, how to convert your pre-trained model to Cairo 1, and how to perform inference with Orion.
June 8, 2023 - Raphael Doukhan
Last updated