Pinned Repositories
General
The official registry of general Julia packages
Just-Another-Research-CV
📝 A not-so-fancy but still a pretty research CV :fireworks: :tada:
minimal_llm_gui
Minimal Frontend For Ollama
Nested-K-Means
Implementation of Nested Mini-Batch K-Means Algorithm using Numpy
pymc4_prototypes
Experimental code for porting PyMC to alternative backends
Targeted-Dropout
VariationalInference.jl
Variational Inference in Julia
sharanry's Repositories
sharanry/General
The official registry of general Julia packages
sharanry/minimal_llm_gui
Minimal Frontend For Ollama
sharanry/BSON.jl
sharanry/CUDA.jl
CUDA programming in Julia.
sharanry/FluxOptTools.jl
Use Optim to train Flux models and visualize loss landscapes
sharanry/FMI.jl
sharanry/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.
sharanry/HaltonSequences.jl
Halton sequences and points in Julia
sharanry/HCubature.jl
pure-Julia multidimensional h-adaptive integration
sharanry/Integrals.jl
A common interface for quadrature and numerical integration for the SciML scientific machine learning organization
sharanry/julia
The Julia Programming Language
sharanry/KernelAbstractions.jl
Heterogeneous programming in Julia
sharanry/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.
sharanry/llm_finetune_boilerplate
Opinionated boilerplate code to finetune LLMs
sharanry/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
sharanry/ollama-logseq
Logseq plugin to integerate with ollama
sharanry/OrdinaryDiffEq.jl
High performance differential equation solvers for ordinary differential equations, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
sharanry/outlines
Structured Text Generation
sharanry/PackageCompiler.jl
Compile your Julia Package
sharanry/RecursiveArrayTools.jl
Tools for easily handling objects like arrays of arrays and deeper nestings in scientific machine learning (SciML) and other applications
sharanry/RelocatableFolders.jl
sharanry/SciMLBase.jl
The Base interface of the SciML ecosystem
sharanry/SciMLExpectations.jl
Fast uncertainty quantification for scientific machine learning (SciML) and differential equations
sharanry/SciMLTutorials.jl
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
sharanry/sharanry
sharanry/sharanry.github.io
sharanry/Surrogates.jl
Surrogate modeling and optimization for scientific machine learning (SciML)
sharanry/Symbolics.jl
A fast and modern CAS for a fast and modern language.
sharanry/UncertaintyQuantification
Code for Connection between Uncertainty Quantification and Gaussian Prior Parameters
sharanry/Yggdrasil
Collection of builder repositories for BinaryBuilder.jl