dymos
robot
| dymos | robot | |
|---|---|---|
| 4 | 5 | |
| 186 | 51 | |
| 0.5% | - | |
| 7.9 | 7.2 | |
| 6 days ago | 8 months ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
dymos
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Optimal Control of a Formula 1 Car - Circuit de Barcelona-Catalunya
And the code here: https://github.com/OpenMDAO/dymos/tree/master/dymos/examples/racecar
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Dumb question but should I avoid putting the 'magic tyre formula' in my paper?
The paper (actually an 'individual report') is to discuss my contribution and results for a group project. The overall project is on improving our electric bike that take's part in the Isle of Man TT Zero, mostly by implementing battery and motor cooling systems. I've developed a fairly lightweight lap time simulator (using Dymos) that integrates transient models for the cooling system, allowing us to essentially simulate our cooling systems within the lap time simulator.
- How do I transform these complicated differential equations into more straightforward ones?
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Could someone help with the direction on an optimal control theory problem?
Referenced from one of the comments here: https://github.com/OpenMDAO/dymos/issues/369
robot
- Ivy – The Unified Machine Learning Framework
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First 2022 newsletter 🚀 Many upcoming events
(February 28) - Unifying all Machine Learning Frameworks. This is a hands-on interactive coding session and live demo. We will explain how Ivy is solving an ML unification problem.
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Unifying all Machine Learning Frameworks - Link to a free online lecture by the author in comments
In this talk, we will show how unifying all Machine Learning (ML) frameworks could save everybody a HUGE amount of time and energy. Through interactive coding sessions and live demos, we will explain how Ivy (checkout lets-unify.ai) is solving this unification problem. We will focus on demos using Ivy’s 3D vision and robotics libraries, solving 3D robotic navigation and perception tasks in a 3D simulator, all in real-time. Checkout https://github.com/ivy-dl/robot for examples! Finally, we will explore how you can join and contribute to the growing Ivy community, and help us in our mission to truly unify all ML frameworks once and for all.
What are some alternatives?
build_pyoptsparse - python script to build/install pyoptsparse with IPOPT (and optionally SNOPT)
Autonomous-Parking - Automatic parallel parking system including path planning, path tracking, and parallel parking in a designed environment written in python. [Moved to: https://github.com/Pandas-Team/Automatic-Parking]
SpiceyPy - SpiceyPy: a Pythonic Wrapper for the SPICE Toolkit.
robot - Functions and classes for gradient-based robot motion planning, written in Ivy. [Moved to: https://github.com/unifyai/robot]
apod-api - Astronomy Picture of the Day API service
thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
HJxB - Continuous-Time/State/Action Fitted Value Iteration via Hamilton-Jacobi-Bellman (HJB)
sagemaker-python-sdk - A library for training and deploying machine learning models on Amazon SageMaker