Sharan Yalburgi's repositories
Just-Another-Research-CV
📝 A not-so-fancy but still a pretty research CV :fireworks: :tada:
CUDA.jl
CUDA programming in Julia.
FluxOptTools.jl
Use Optim to train Flux models and visualize loss landscapes
FMIImport.jl
FMIImport.jl implements the import functionalities of the FMI-standard (fmi-standard.org) for the Julia programming language. FMIImport.jl provides the foundation for the Julia packages FMI.jl and FMIFlux.jl.
GitHubGraduation-2021
Join the GitHub Graduation Yearbook and "walk the stage" on June 5.
HaltonSequences.jl
Halton sequences and points in Julia
HCubature.jl
pure-Julia multidimensional h-adaptive integration
Integrals.jl
A common interface for quadrature and numerical integration for the SciML scientific machine learning organization
julia
The Julia Programming Language
KernelAbstractions.jl
Heterogeneous programming in Julia
LinearSolve.jl
LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface.
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
ollama-logseq
Logseq plugin to integerate with ollama
OrdinaryDiffEq.jl
High performance differential equation solvers for ordinary differential equations, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
outlines
Structured Text Generation
PackageCompiler.jl
Compile your Julia Package
RecursiveArrayTools.jl
Tools for easily handling objects like arrays of arrays and deeper nestings in scientific machine learning (SciML) and other applications
SciMLBase.jl
The Base interface of the SciML ecosystem
SciMLExpectations.jl
Fast uncertainty quantification for scientific machine learning (SciML) and differential equations
SciMLTutorials.jl
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
Surrogates.jl
Surrogate modeling and optimization for scientific machine learning (SciML)
Symbolics.jl
A fast and modern CAS for a fast and modern language.
UncertaintyQuantification
Code for Connection between Uncertainty Quantification and Gaussian Prior Parameters
Yggdrasil
Collection of builder repositories for BinaryBuilder.jl