symreg
SymbolicRegression.jl
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| symreg | SymbolicRegression.jl | |
|---|---|---|
| 4 | 3 | |
| 28 | 535 | |
| - | - | |
| 0.0 | 9.7 | |
| almost 3 years ago | 2 days ago | |
| Jupyter Notebook | Julia | |
| MIT License | Apache License 2.0 |
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symreg
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I Still ‘Lisp’ (and You Should Too)
Well, I wrote a genetic programming library, and it was fun to parse a Lisp-like representation from Python. You still have recursion and everything (albeit no tail call optimization).
Here, `_from_source` goes from a plain array of tokens to a nested one (tree), depending on their arity:
https://github.com/danuker/symreg/blob/7c6593d3046f6c52dfb92...
Lisp is almost valid Python. The exception is the single-element tuple which needs a comma: (x,)
But I still preferred to use Python as a programming language, and Lisp as a sort of AST. It's just easier. I am curious what roadblocks you faced in your ASCII delimited parsing.
Do you by any chance still have the two parsers? I'd love to see them. If you are worried about your anonymity, you can find my website on my HN profile, and my e-mail on my website. I promise not to disclose your identity publicly.
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Do Simpler Machine Learning Models Exist and How Can We Find Them?
If interpretability is sufficiently important, you could straight-up search for mathematical formulae.
My SymReg library pops to mind. I'm thinking of rewriting it in multithreaded Julia this holiday season.
https://github.com/danuker/symreg
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I made an Entity Component System
Indeed, I ran face-first into Python's GIL that prevents any useful CPU-bound multithreading, with my symbolic regression library.
- SymReg: A Python Symbolic Regression Engine
SymbolicRegression.jl
- Symbolicregression.jl – High-Performance Symbolic Regression in Julia and Python
- Do Simpler Machine Learning Models Exist and How Can We Find Them?
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Modules in Julia
This is an example of a package that relies on it heavily: https://github.com/MilesCranmer/SymbolicRegression.jl
What are some alternatives?
FrameworkBenchmarks - Source for the TechEmpower Framework Benchmarks project
FromFile.jl - Julia enhancement proposal (Julep) for implicit per file module in Julia
AI - Artificial Intelligence Projects
hlb-CIFAR10 - Train CIFAR-10 in <7 seconds on an A100, the current world record.
PyECS - A Python implementation of an Entity Component System
Metatheory.jl - General purpose algebraic metaprogramming and symbolic computation library for the Julia programming language: E-Graphs & equality saturation, term rewriting and more.
coalton - Coalton is an efficient, statically typed functional programming language that supercharges Common Lisp.
SymbolicNumericIntegration.jl - SymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals
ModelingToolkit.jl - An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
PySR - High-Performance Symbolic Regression in Python and Julia
WorldDynamics.jl - An open-source framework written in Julia for global integrated assessment models.