BlackBIRDS
BlackBIRDS: Black-Box Inference foR Differentiable Simulators - Published in JOSS (2023)
OptimalControl
Model and solve optimal control problems in Julia, both on CPU and GPU.
torchopt
TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
Integrals
A common interface for quadrature and numerical integration for the SciML scientific machine learning organization
PreallocationTools
Tools for building non-allocating pre-cached functions in Julia, allowing for GC-free usage of automatic differentiation in complex codes
https://github.com/astro-informatics/s2wav
Differentiable and accelerated wavelet transform on the sphere with JAX
NBodySimulator
A differentiable simulator for scientific machine learning (SciML) with N-body problems, including astrophysical and molecular dynamics
diffeqdevmaterials
Various developer materials, like PDFs, notes, derivations, etc. for differential equations and scientific machine learning (SciML)
DPFEHM
DPFEHM: a differentiable subsurface physics simulator - Published in JOSS (2023)
genjax
Probabilistic programming with programmable inference for parallel accelerators.
https://github.com/astro-informatics/s2scat
Differentiable and GPU accelerated scattering covariance statistics on the sphere
https://github.com/astro-informatics/s2ball
Differentiable and accelerated wavelet transform on the ball with JAX
Tesseract Core
Tesseract Core: Universal, autodiff-native software components for Simulation Intelligence - Published in JOSS (2025)
https://github.com/bifurcationkit/bifurcationinference.jl
learning state-space targets in dynamical systems