https://github.com/onyx-robotics/onyx-engine

Deploy a production-ready AI model training workflow for hardware control systems and physics simulation in minutes.
https://github.com/onyx-robotics/onyx-engine

ai control-systems control-theory controls dynamical-systems model-predictive-control physics physics-simulation reinforcement-learning robotics robotics-simulation sim2real simulation system-identification

Last synced: 3 months ago
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Deploy a production-ready AI model training workflow for hardware control systems and physics simulation in minutes.

• Host: GitHub
• URL: https://github.com/onyx-robotics/onyx-engine
• Owner: onyx-robotics
• License: apache-2.0
• Created: 2024-10-09T22:32:01.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2026-02-17T13:57:52.000Z (4 months ago)
• Last Synced: 2026-02-17T19:00:42.738Z (4 months ago)
• Topics: ai, control-systems, control-theory, controls, dynamical-systems, model-predictive-control, physics, physics-simulation, reinforcement-learning, robotics, robotics-simulation, sim2real, simulation, system-identification
• Language: Python
• Homepage: https://www.onyx-robotics.com
• Size: 2.56 MB
• Stars: 6
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# onyx-engine

Optimize AI models for hardware simulation and control while the Engine automatically traces every step. We built the Engine to be the fastest platform for teams to turn data into performant, deployable models.

Get started with our [documentation.]()