Pinned Repositories
Circuitscape.jl
Algorithms from circuit theory to predict connectivity in heterogeneous landscapes
AlgebraicMultigrid.jl
Algebraic Multigrid in Julia
6.S097
Material for MIT 6.S097
Arcpy.jl
Julia wrapper for the arcpy python package
ComputeFramework.jl
A framework for out-of-core and parallel computation
DIA.jl
Diagonal Format (DIA) for Julia
MonteCarloIntegration.jl
A package for multi-dimensional integration using monte carlo methods
MT-Workloads
Multi-threaded workloads in Julia
Texturize.jl
Neural style in Julia
VITTraining
ranjanan's Repositories
ranjanan/MonteCarloIntegration.jl
A package for multi-dimensional integration using monte carlo methods
ranjanan/Texturize.jl
Neural style in Julia
ranjanan/DIA.jl
Diagonal Format (DIA) for Julia
ranjanan/MT-Workloads
Multi-threaded workloads in Julia
ranjanan/Arcpy.jl
Julia wrapper for the arcpy python package
ranjanan/Arcgisscripting.jl
Julia wrapper for the argisscripting python package
ranjanan/Catwalk.jl
An adaptive optimizer for speeding up dynamic dispatch in Julia
ranjanan/Collectl.jl
Plotting information from Collectl in julia
ranjanan/DaemonMode.jl
Client-Daemon workflow to run faster scripts in Julia
ranjanan/DiffEqFlux.jl
DifferentialEquations.jl + Flux.jl = Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers
ranjanan/Distributions.jl
A Julia package for probability distributions and associated functions.
ranjanan/FiniteDiff.jl
Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support
ranjanan/FMI.jl
ranjanan/FMICore.jl
FMICore.jl implements the low-level equivalents of the C-functions and C-data types of the FMI-standard (fmi-standard.org) for the Julia programming language. FMICore.jl provides the foundation for the Julia packages FMIImport.jl and FMIExport.jl.
ranjanan/GPU-benchmarking
GPU benchmarking on Julia
ranjanan/INIBuilder.jl
Command line utility to build INI files
ranjanan/juliacon-webapp
ranjanan/JuliaFMI
Simulator for FMUs in Julia (WIP)
ranjanan/ModelingToolkit.jl
A modeling framework for automatically parallelized scientific computing in Julia
ranjanan/ModelingToolkitStandardLibrary.jl
A standard library of components to model the world and beyond
ranjanan/NeuralStyles.jl
ranjanan/Pardiso.jl
Calling the PARDISO library from Julia
ranjanan/PolyChaos.jl
A Julia package to construct orthogonal polynomials, their quadrature rules, and use it with polynomial chaos expansions.
ranjanan/QuadDIRECT.jl
Global optimization without derivatives
ranjanan/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)
ranjanan/ranjanan.github.io
ranjanan/SolarTherm
Solar thermal power/fuel station performance simulation and optimisation using Modelica. Read a paper about our project: https://is.gd/solth
ranjanan/Surrogates.jl
Surrogate modeling and optimization for scientific machine learning (SciML)
ranjanan/Symbolics.jl
A fast and modern CAS for a fast and modern language.
ranjanan/www.juliacon.org
http://juliacon.org/