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Extra features for Makie.jl including plot recipes, scales, ticks, and advanced visualization utilities.
Neuroimaging (EEG, fMRI, pupil ...) regression analysis in Julia
Interactive data visualizations and plotting in Julia
What scientific programmers must know about CPUs and RAM to write fast code.
Closed-loop EEG recordings with vibrotactile stimulation
Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms
Implementation of domain-specific language (DSL) for dynamic probabilistic programming
An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning a…
Exploratory analysis of Bayesian models with Julia
Web page with basic examples showing how to use makie in julia
Probabilistic language based on pattern matching and constraint propagation, 153 examples
Implementation of variational Bayes inference algorithms
Bayesian Statistics using Julia and Turing
Bayesian inference with probabilistic programming.
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
A reinforcement learning package for Julia
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
An open access book on scientific visualization using python and matplotlib