GWSurrogate
GWSurrogate: A Python package for gravitational wave surrogate models - Published in JOSS (2025)
egobox, a Rust toolbox for efficient global optimization
egobox, a Rust toolbox for efficient global optimization - Published in JOSS (2022)
best-of-atomistic-machine-learning
🏆 A ranked list of awesome atomistic machine learning projects ⚛️🧬💎.
https://github.com/sciml/surrogates.jl
Surrogate modeling and optimization for scientific machine learning (SciML)
pyscipopt-ml
Python interface to automatically formulate Machine Learning models into Mixed-Integer Programs
https://github.com/acerbilab/normalizing-flow-regression
Normalizing Flow Regression for Bayesian Inference with Offline Likelihood Evaluations
parametric-nn-models
Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network
calisim
A toolbox for the calibration and evaluation of simulation models.
https://github.com/bandframework/surmise
A python package for surrogate models that interface with calibration and other tools
calisim-examples-workshop-material
Workshop for calisim: A toolbox for the calibration and evaluation of simulation models.
https://github.com/bonstats/smcdar
Data and code to accompany paper "Accelerating sequential Monte Carlo with surrogate likelihoods"