differentiable boltzmann code
MIT License
Fast operator-overloading Jacobian & Hessian sparsity detection.
An acausal modeling framework for automatically parallelized scientific machine learning (SciML) ...
Experimental framework for automatic differentiation finite-volume simulators
Julia implementation for various Frank-Wolfe and Conditional Gradient variants
An interface to various automatic differentiation backends in Julia.
Compute cosmological quantities in Julia
Exploring the computational power of fermionic quantum systems. Ab initio computation and basis s...
An implementation of the Bloch-McConnell equations for simulating MR spin dynamics.
Classical and quantum Monte Carlo simulations in Julia
A multi-dimensional, high performance deconvolution framework written in Julia Lang for CPUs and ...
Multi-language suite for high-performance solvers of differential equations and scientific machin...
Generalized mean-field equations in open quantum systems
ODE integration using Taylor's method, and more, in Julia
The automatically differentiable and GPU-compatible toolkit for CMB analysis.
Library for the numerical simulation of open quantum systems.