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Xiaoming Fu's Projects

approxbayes.jl icon approxbayes.jl

Approximate Bayesian Computation (ABC) algorithms for likelihood free inference in julia

bijectors.jl icon bijectors.jl

Implementation of normalising flows and constrained random variable transformations

diffeqflux.jl icon diffeqflux.jl

Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

diffeqjump.jl icon diffeqjump.jl

Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)

diffeqsensitivity.jl icon diffeqsensitivity.jl

A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, and more for ODEs, SDEs, DDEs, DAEs, etc.

dynare icon dynare

This project has moved to https://git.dynare.org/Dynare/dynare

leetcode.jl icon leetcode.jl

A community driven project to provide solutions for LeetCode problems in the Julia programming language.

lux.jl icon lux.jl

Explicitly Parameterized Neural Networks in Julia

neuraloperators.jl icon neuraloperators.jl

learning the solution operator for partial differential equations in pure Julia.

numcme.jl icon numcme.jl

Direct solution of the Chemical Master Equation in Julia.

optimization.jl icon optimization.jl

Local, global, and beyond optimization for scientific machine learning (SciML)

surveyofpdepackages icon surveyofpdepackages

Survey of the packages of the Julia ecosystem for solving partial differential equations

test_webpage icon test_webpage

✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com

turing.jl icon turing.jl

Bayesian inference with probabilistic programming.

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