KirillZubov

1d-diffusion_equation

1d-poission-nernst-planck

checker

Scala command line checklist checker

DASSL.jl

Solves stiff differential algebraic equations (DAE) using variable stepsize backwards finite difference formula (BDF)

DeepBSDE

Deep BSDE solver in TensorFlow

DiffEqGPU.jl

GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem

DiffEqOperators.jl

Linear operators for discretizations of differential equations and scientific machine learning (SciML)

DigitalDesignExamTask

FBSNNs

Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations

NeuralPDE.jl

Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

KirillZubov/1d-diffusion_equation

KirillZubov/1d-poission-nernst-planck

KirillZubov/checker

Scala command line checklist checker

KirillZubov/DASSL.jl

Solves stiff differential algebraic equations (DAE) using variable stepsize backwards finite difference formula (BDF)

KirillZubov/DeepBSDE

Deep BSDE solver in TensorFlow

KirillZubov/DiffEqGPU.jl

GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem

KirillZubov/DiffEqOperators.jl

Linear operators for discretizations of differential equations and scientific machine learning (SciML)

KirillZubov/DigitalDesignExamTask

KirillZubov/FBSNNs

Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations

KirillZubov/FlameGraph

Stack trace visualizer

KirillZubov/Flux.jl

Relax! Flux is the ML library that doesn't make you tensor

KirillZubov/Julia-on-Colab

Notebook for running Julia on Google Colab

KirillZubov/kirillzubov.github.io

KirillZubov/ModelingToolkit.jl

A modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations

KirillZubov/NeuralOperators.jl

Operator learning in Julia.

KirillZubov/NeuralPDE.jl

Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

KirillZubov/ODENetSolver

KirillZubov/Optimization.jl

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

KirillZubov/organizer

KirillZubov/pino_model

saved trained neural operator models

KirillZubov/POMDPs.jl

MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.

KirillZubov/PossionEquationSover

KirillZubov/ProfileSVG.jl

Write flame graphs to SVG format and explore them interactively in Jupyter, Pluto, etc.

KirillZubov/QuasiMonteCarlo.jl

Lightweight and easy generation of quasi-Monte Carlo sequences with a ton of different methods on one API for easy parameter exploration in scientific machine learning (SciML)

KirillZubov/SciMLBase.jl

The Base interface of the SciML ecosystem

KirillZubov/SciMLBenchmarks.jl

Benchmarks for scientific machine learning (SciML) software and differential equation solvers

KirillZubov/SDESolver

KirillZubov/StochasticDiffEq.jl

DiffEq solvers for stochastic differential equations

KirillZubov/Symbolics.jl

A fast and modern CAS for a fast and modern language.

KirillZubov/t-systems_tasks