AI
SymbolicRegression.jl
AI | SymbolicRegression.jl | |
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4 | 3 | |
14 | 544 | |
- | - | |
10.0 | 9.7 | |
about 7 years ago | 10 days ago | |
Julia | ||
GNU General Public License v3.0 only | Apache License 2.0 |
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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".
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?
towhee - Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
FromFile.jl - Julia enhancement proposal (Julep) for implicit per file module in Julia
qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
symreg - A Symbolic Regression engine
pgsql-http - HTTP client for PostgreSQL, retrieve a web page from inside the database.
hlb-CIFAR10 - Train CIFAR-10 in <7 seconds on an A100, the current world record.
Metatheory.jl - Makes Julia reason with equations. General purpose metaprogramming, symbolic computation and algebraic equational reasoning 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.