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Top 23 Python Modeling Projects
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Scout Monitoring
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python-mip
Python-MIP: collection of Python tools for the modeling and solution of Mixed-Integer Linear programs
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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SeaLion
The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.
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prysm
physical optics: integrated modeling, phase retrieval, segmented systems, polynomials and fitting, sequential raytracing... (by brandondube)
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dash-tools
DashTools - Plotly Dash Command Line Tools - Create, Run and Deploy Templated Python Apps from Terminal
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retomaton
PyTorch code for the RetoMaton paper: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022)
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bdsim_realtime
Real-time execution and remote monitoring and tuning of BDSim Block-Diagrams for modeling and control of Dynamical Systems
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Project mention: GitHub - CadQuery/cadquery: A python parametric CAD scripting framework based on OCCT | /r/codeCAD | 2023-07-26
Latest docs: https://docs.rocketpy.org/en/latest/user/index.htmlFull release notes: https://github.com/RocketPy-Team/RocketPy/releases/tag/v1.1.0
Project mention: Is Conway's Game of Life Conscious According to Integrated Information Theory? | /r/askscience | 2023-06-05it's not very hard to build a model (and the corresponding transition probability matrix) for a GoL network. and the version 4.0 formalism code is online for anyone to use (https://github.com/wmayner/pyphi). so you could try to answer the question for yourself (though it gets computationally prohibitive for networks bigger than 10 units or so, so...)
Project mention: Loops: journeys in declarative logic programming in genomics [video] | news.ycombinator.com | 2023-11-30LinkML that Chris presents here looks really interesting though!
https://linkml.io/
https://github.com/linkml/linkml
My current concept is to just combine zernike polynomials with a random factor and calculate the PSF from that, which can be somewhat easily be done with the prysm library. These PSFs can then be convolved with circular and gaussian kernels for modelling additional defocus and accounting for other stuff like the AA filter. Then I'd add chromatic aberration by offseting/scaling the PSFs for each channel. Some generated kernels already look pretty good when comparing them to stars in astrophotography images, but others not so much.
Python Modeling related posts
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How to generate realistic PSFs for camera lenses?
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GitHub - CadQuery/cadquery: A python parametric CAD scripting framework based on OCCT
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Prysm is a Python 3.6 library for numerical optics
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Books/ other resources to learn about Fraunhofer diffraction farfield model using MATLAB/python?
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Synth Printer: 3D printed synth panels with simple Python code. Give me early feedback?
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Python raytracer optimizations and improvements
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Demonstrations of laser optics/Fourier optics and diffraction simulations
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A note from our sponsor - SaaSHub
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Index
What are some of the best open-source Modeling projects in Python? This list will help you:
Project | Stars | |
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1 | dash | 20,653 |
2 | cadquery | 2,878 |
3 | CAD_Sketcher | 2,527 |
4 | RocketPy | 550 |
5 | python-mip | 506 |
6 | dython | 490 |
7 | flopy | 486 |
8 | pyphi | 358 |
9 | SeaLion | 332 |
10 | linkml | 291 |
11 | prysm | 240 |
12 | pymadcad | 199 |
13 | carveme | 138 |
14 | dash-tools | 92 |
15 | retomaton | 64 |
16 | Jomini | 44 |
17 | ordered | 39 |
18 | modelator-py | 28 |
19 | AbsBox | 26 |
20 | PorousMediaLab | 22 |
21 | epispot | 15 |
22 | BlenderShapeKeyTools | 13 |
23 | bdsim_realtime | 5 |
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