transient_rotordynamic
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| transient_rotordynamic | facet | |
|---|---|---|
| 1 | 5 | |
| 4 | 471 | |
| - | - | |
| 10.0 | 5.6 | |
| about 1 year ago | 10 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | Apache License 2.0 |
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transient_rotordynamic
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I compared Julia and Python + Numba by simulating rotor vibrations
Thank you again for all the great tips and explanations! The performance was further increased significantly and it is safe to say that now Julia is 4-5 faster than Python + Numba for my systems. I updated the code on github and the blog post.
facet
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/r/technology top posts: Mar 1, 2021
FACET is an open source library for human-explainable AI. It combines sophisticated model inspection and model-based simulation to enable better explanations of your supervised machine learning models.\ (0 comments)
- FACET is an open source library for human-explainable AI. It combines sophisticated model inspection and model-based simulation to enable better explanations of your supervised machine learning models.
- Human-Explainable AI
- Facet: ML model inspection and model-based simulation for better explanations
What are some alternatives?
RigidBodySim.jl - Simulation and visualization of articulated rigid body systems in Julia
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shapash - 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
machine-learning-and-simulation - All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)
wordlescraper - Combine wordle statistics metrics from various locations, data science to correlate scores with words, and a front end to display the results.
transformers-interpret - Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
imodels - Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).