differentiable boltzmann code
MIT License
Published by jmsull 12 months ago
Accurate linear matter power spectra. CMB power spectra not yet ready for use at a sufficient level of accuracy.
A multi-dimensional, high performance deconvolution framework written in Julia Lang for CPUs and ...
Classical and quantum Monte Carlo simulations in Julia
ODE integration using Taylor's method, and more, in Julia
Julia implementation for various Frank-Wolfe and Conditional Gradient variants
An acausal modeling framework for automatically parallelized scientific machine learning (SciML) ...
Library for the numerical simulation of open quantum systems.
Exploring the computational power of fermionic quantum systems. Ab initio computation and basis s...
Fast operator-overloading Jacobian & Hessian sparsity detection.
Compute cosmological quantities in Julia
Multi-language suite for high-performance solvers of differential equations and scientific machin...
An interface to various automatic differentiation backends in Julia.
Experimental framework for automatic differentiation finite-volume simulators
Generalized mean-field equations in open quantum systems
An implementation of the Bloch-McConnell equations for simulating MR spin dynamics.
The automatically differentiable and GPU-compatible toolkit for CMB analysis.