Stars
Specification and description of the MathOptFormat file format
Specification and description of the StochOptFormat file format
A Julia based simulation framework for thermodynamic cycles.
Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms
Plotting for Julia based on GR, a framework for visualisation applications
Boundary value problem (BVP) solvers for scientific machine learning (SciML)
Sampling from intractable distributions, with support for distributed and parallel methods
Robust implementation for random-walk Metropolis-Hastings algorithms
Source code of the gradio_pdf custom component.
Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
A domain specific language (DSL) for probabilistic graphical models
Random Integrators for many-body quantum systems
One More Einsum for Julia! With runtime order-specification and high-level adjoints for AD
Krylov methods for linear problems, eigenvalues, singular values and matrix functions
Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem
Neural Network primitives with multiple backends
Julia bindings for the FLINT number theory C library
Implementation of normalising flows and constrained random variable transformations
Solid state detector field and charge drift simulation in Julia
Parallel distributed-memory version of Gridap
Parallel distributed-memory version of Gridap
Julia package for tensor contractions and related operations
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
A data structure for mathematical optimization problems
Abstract types and methods for Gaussian Processes.