randfacts
pySRURGS
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| randfacts | pySRURGS | |
|---|---|---|
| 2 | 1 | |
| 18 | 13 | |
| - | - | |
| 4.3 | 0.0 | |
| 6 months ago | 10 months ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 only |
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.
randfacts
- Python packaging
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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
pySRURGS
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‘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
What are some alternatives?
sampleproject - A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"
ModelingToolkitStandardLibrary.jl - A standard library of components to model the world and beyond
IconMaker - Make tkinter icons embedded into the source code.
atmos-rng - A randomness generator based off of atmospheric noise instead of math to generate numbers, choices, and to shuffle lists.
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.
SOPG - Secure-Obscure Password Generator
FunctionalModels.jl - Equation-based modeling and simulations in Julia
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