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Global documentation for the Julia SciML Scientific Machine Learning Organization
A versatile, clean and minimal template for non-fiction writing. Ideal for class notes, reports, and books.
A new markup-based typesetting system that is powerful and easy to learn.
Book of educational examples for Typst
🌙 LunarVim is an IDE layer for Neovim. Completely free and community driven.
Open Overleaf/ShareLaTex projects in vscode, with full collaboration support.
A pure Julia implementation of the Targeted Minimum Loss-based Estimation
Initial look at directed acyclic graph (DAG) based causal models in regression.
Cross-platform, fast, feature-rich, GPU based terminal
Bayesian Generalized Linear models using `@formula` syntax.
Port of Statistical Rethinking (2nd edition) code to Julia
Bayesian Statistics using Julia and Turing
SimonAB / zoonotic_rank
Forked from Nardus/zoonotic_rankCode and data used in Mollentze et al. (2021) "Identifying and prioritizing potential human-infecting viruses from their genome sequences".
A useful tool on the road to reality. Read the documentation on the website.
A Python toolbox for quantitative, reproducible flow cytometry analysis
OpenType Unicode fonts for Scientific, Technical, and Mathematical texts
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equat…
Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at
A 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms
Simple package for literate programming in Julia
Uniform Manifold Approximation and Projection (UMAP) implementation in Julia
Efficient approximate k-nearest neighbors graph construction and search in Julia
Vim-fork focused on extensibility and usability
ML-Ensemble – high performance ensemble learning
Publication quality regression and statistical tables