-

Multimodal datasets for Machine-Learning

Tiny Gibbs sampler making use of AbstractMCMC.jl and MCMCChains.jl

-

-

Backend-agnostic differentiation with symbolic pass-through in Julia.

MultiGrid Barrier method

Benchmark BLAS libraries on GPUs

Fit experimental data to a variety of sinusoidal models

MulticlassPerceptron.jl

UDP Servers for Toolips.jl

🚀 Keep an updated export of every notebook you edit for quick viewing and publishing!

Developer tools for the GeoStats.jl framework

Simulate phenotypes from any GLM model

SQLite adapter for SearchLight

Interfacing NumericalEFT with TRIQS and other external packages.

-

Wrappers for MINPACK into the SciML Common Interface

⚡Fast and simple notebook publishing — see plutopublish.com⚡

A standalone machine learning metrics library developed for Knet

Financial Modeling Prep API wrapper with Julia

-

WordPiece Tokenizer for BERT models.

Optimization for the Mimi.jl modeling framework

Makie recpies for visualising KmerAnalysis types and results.

-

-

Julia wrapper for Flow*

Functions and workflows for the analysis of microbiome data.

Lightweight feature selection package in Julia

Kitten is a micro-framework built on top of the HTTP.jl library.

A light-weight GaussianProcesses.jl wrapper

Https://arxiv.org/abs/2403.12349

The package provides the DataFrame with data on Isotopes.

-

Compute MLEs for linear covariance models

Using Julia to auto generate C code for Extended Kalman Filters!

Structured way of defining diffusion processes

Abstraction Layer for Dynamic Bounds

Marginalized log-probability functions in Julia