Gizatechxyz Orion Save

ONNX Runtime in Cairo 1.0 for verifiable ML inference using STARK

Project README

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Orion: An Open-source Framework for Validity and ZK ML โœจ

All Contributors

Orion is an open-source, community-driven framework dedicated to Provable Machine Learning. It provides essential components and a new ONNX runtime for building verifiable Machine Learning models using STARKs.

๐Ÿค” What is ONNX Runtime?

ONNX (Open Neural Network Exchange), is an open-source standard created to represent deep learning models. The aim of its development was to enable interoperability among diverse deep learning frameworks, like TensorFlow or PyTorch. By offering a universal file format, ONNX allows models trained in one framework to be readily applied in another for inference, eliminating the need for model conversion.

Ensuring compatibility with ONNX operators facilitates integration into the ONNX ecosystem. This enables researchers and developers to pre-train models using their preferred framework, before executing verifiable inferences with Orion.

๐ŸŒฑ Where to start?

You can check our official docs here.

  • ๐Ÿงฑ Framework: The building blocks for Verifiable Machine Learning models.
  • ๐Ÿ› Hub: A curated collection of ML models and spaces built by the community using Orion framework.
  • ๐ŸŽ“ Academy: Resources and tutorials for learning how to build ValidityML models using Orion.

๐Ÿ’– Join the community!

Join the community and help build a safer and transparent AI in our Discord!

๐Ÿš€ Orion Usage

  • For an insightful overview of impressive proof of concepts, models, and tutorials created by our community, please visit Orion Usage.
  • Discover a curated list of tutorials and models developed using Orion in Orion-Hub.

โœ๏ธ Authors & contributors

For a full list of all authors and contributors, see the contributors page.

License

This project is licensed under the MIT license.

See LICENSE for more information.

Contributors โœจ

Thanks goes to these wonderful people:

Fran Algaba
Fran Algaba

๐Ÿ’ป
raphaelDkhn
raphaelDkhn

๐Ÿ’ป
Lanre Ojetokun
Lanre Ojetokun

๐Ÿ’ป ๐Ÿ›
Moody Salem
Moody Salem

๐Ÿ’ป ๐Ÿ›
Roy Rotstein
Roy Rotstein

๐Ÿ’ป
omahs
omahs

๐Ÿ“–
Kazeem Hakeem
Kazeem Hakeem

๐Ÿ’ป
dblanco
dblanco

๐Ÿ’ป
BemTG
BemTG

๐Ÿ’ป ๐Ÿ“–
danilowhk
danilowhk

๐Ÿ’ป
Falco R
Falco R

๐Ÿ’ป
dincerguner
dincerguner

๐Ÿ’ป
Rich Warner
Rich Warner

๐Ÿ’ป
Daniel Bejarano
Daniel Bejarano

๐Ÿ“–
vikkydataseo
vikkydataseo

๐Ÿ“–
Daniel
Daniel

๐Ÿ’ป
Charlotte
Charlotte

๐Ÿ’ป
0xfulanito
0xfulanito

๐Ÿ’ป
0x73e
0x73e

๐Ÿ’ป
Thomas S. Bauer
Thomas S. Bauer

๐Ÿ’ป
Andres
Andres

๐Ÿ’ป
Ephraim Chukwu
Ephraim Chukwu

๐Ÿ’ป
Bal7hazar
Bal7hazar

๐Ÿ›
Tony Stark
Tony Stark

๐Ÿ“–
Mahmoud Mohajer
Mahmoud Mohajer

๐Ÿ’ป
HappyTomatoo
HappyTomatoo

๐Ÿ›
Bilgin Koรงak
Bilgin Koรงak

๐Ÿ’ป
akhercha
akhercha

๐Ÿ’ป
Vid Kersic
Vid Kersic

๐Ÿ’ป
Trunks @ Carbonable
Trunks @ Carbonable

๐Ÿ“–
canacechan
canacechan

๐Ÿ’ป
Tristan
Tristan

๐Ÿ’ป
Kugo
Kugo

๐Ÿ“–
Beeyoung
Beeyoung

๐Ÿ’ป

This project follows the all-contributors specification. Contributions of any kind welcome!

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