Stars
🐍 Geometric Computer Vision Library for Spatial AI
Abstract types and interfaces for Markov chain Monte Carlo methods
Proximal algorithms for nonsmooth optimization in Julia
Cross-architecture parallel algorithms for Julia's CPU and GPU backends. Targets multithreaded CPUs, and GPUs via Intel oneAPI, AMD ROCm, Apple Metal, Nvidia CUDA.
Simple package for literate programming in Julia
Macros to define and implement interfaces, to ensure they are checked and correct.
Analysis of the Seoul Biking Data - EDA, Feature Engineering, Model Training
HPC setup for juliaup, julia and HPC key packages requiring system libraries
Univariate and multiple comparisons statistical hypothesis testing by data permutation
Utilities for loading posteriordb with Julia
Types with default field values, keyword constructors and (un-)pack macros
Official code for "Stochastic Localization via Iterative Posterior Sampling"
Easily and efficiently memoize any function, closure, or callable object in Julia.
Bayesian Cognitive Modeling with Turing.jl (Julia Programming Language)
A fork of doatools.py, with more DOA estimation algorithms added
A regexp/replace command for Emacs with interactive visual feedback
A highly efficient implementation of Gaussian Processes in PyTorch
Julia wrapper for the performance monitoring and benchmarking suite LIKWID.
Bayesian Generalized Linear models using `@formula` syntax.
Easily benchmark a Julia package over its commit history