probsys/AutoGP.jl
Automated Bayesian model discovery for time series data
This helps scientists, engineers, or data analysts automatically understand patterns in their time series data. You input a sequence of measurements over time, and it tells you what underlying trends, periodic cycles, or smooth changes are present, without you having to guess. This is for anyone who needs to interpret or forecast time-dependent observations.
Use this if you have a single stream of time-ordered data and need to automatically identify its core components, like seasonality or long-term trends, without manual specification.
Not ideal if you already know the exact mathematical form of your time series patterns or if you are working with multiple, interrelated time series.
Stars
86
Forks
4
Language
Julia
License
Apache-2.0
Category
Last pushed
Mar 03, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/probsys/AutoGP.jl"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
CliMA/Oceananigans.jl
🌊 Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs
JuliaLang/julia
The Julia Programming Language
WassimTenachi/PhySO
Physical Symbolic Optimization
FluxML/Flux.jl
Relax! Flux is the ML library that doesn't make you tensor
EnzymeAD/Enzyme.jl
Julia bindings for the Enzyme automatic differentiator