pySRURGS
randfacts
| pySRURGS | randfacts | |
|---|---|---|
| 1 | 2 | |
| 13 | 19 | |
| - | - | |
| 0.0 | 4.3 | |
| 10 months ago | 6 months ago | |
| Python | Python | |
| GNU General Public License v3.0 only | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
pySRURGS
-
‘Machine Scientists’ Distill the Laws of Physics from Raw Data
It should also be emphasized that genetic programming is just one approach to program synthesis, i.e. automatically deriving computer programs from data.
You don't have to use genetic/evolutionary algorithms to search the space of functions, it's just the most popular method.
You can even try pure random search if you're feeling particularly lucky:
https://github.com/pySRURGS/pySRURGS
randfacts
- Python packaging
-
Building a distribution of your project - cwd
What is the file structure of the installed package's folder (on Linux you could just run the tree command in the installed folder), and what code is trying to access the files? Here's an example of one of my modules that reads text files in it's installed directory, maybe it will help https://github.com/TabulateJarl8/randfacts/blob/master/randfacts/main.py
What are some alternatives?
ModelingToolkitStandardLibrary.jl - A standard library of components to model the world and beyond
sampleproject - A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"
atmos-rng - A randomness generator based off of atmospheric noise instead of math to generate numbers, choices, and to shuffle lists.
IconMaker - Make tkinter icons embedded into the source code.
Causal.jl - Causal.jl - A modeling and simulation framework adopting causal modeling approach.
Evolution_simulation - using ursina, I have made a Evolution simulation. To move the screen use [w,s,d,a] keys to move through the x and y directions and use the [e,r] values to move through the z axis. Use the sliders to control the death and birth rate of the simulation. Don't be afraid to change the code or to reload the simulation multiple times.
FunctionalModels.jl - Equation-based modeling and simulations in Julia
SOPG - Secure-Obscure Password Generator
diffeqpy - Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
PySR - High-Performance Symbolic Regression in Python and Julia