SymbolicRegression.jl
AI
| SymbolicRegression.jl | AI | |
|---|---|---|
| 3 | 4 | |
| 542 | 14 | |
| - | - | |
| 9.7 | 10.0 | |
| 6 days ago | about 7 years ago | |
| Julia | ||
| Apache License 2.0 | GNU General Public License v3.0 only |
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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
AI
- What's Postgres Got to Do with AI?
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Do Simpler Machine Learning Models Exist and How Can We Find Them?
> similar to genetic programming
A genetical algorithm was also what I was thinking of. Come up with some kind of symbolic (textual) way to represent a wiring/circuit diagram (graph) and evolve the most efficient "learner" using mutation and cross-breeding (e-sex). The earliest GA I read about used Lisp dicing.
As far as "easiest" AI for humans to work with, "Factor tables" may be a way:
https://github.com/RowColz/AI
AI tuning them becomes more like accounting instead of a lab with Doc Brown.
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A Gentle Introduction to Vector Databases
It's kind of like Factor Tables. I'd like to see research projects experimenting with it, rather than just these "garage projects".
What are some alternatives?
FromFile.jl - Julia enhancement proposal (Julep) for implicit per file module in Julia
towhee - Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
symreg - A Symbolic Regression engine
qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
hlb-CIFAR10 - Train CIFAR-10 in <7 seconds on an A100, the current world record.
pgsql-http - HTTP client for PostgreSQL, retrieve a web page from inside the database.
Metatheory.jl - General purpose algebraic metaprogramming and symbolic computation library for the Julia programming language: E-Graphs & equality saturation, term rewriting and more.
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.