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…

Symbolic programming for the next generation of numerical software

Numbers concerning COVID-19 disease cases in The Netherlands by RIVM, LCPS, NICE, ECML, and Rijksoverheid.

Lean 3 material related to Imperial College's "Introduction to University Mathematics" course

Boost LaTeX typesetting efficiency with preview, compile, autocomplete, colorize, and more.

Differential privacy validator and runtime

collection of datasets for testing differential privacy

Active learning for systematic reviews

A powerful and modular toolkit for record linkage and duplicate detection in Python

Probabilistic Programming with Gaussian processes in Julia

🎈 Simple reactive notebooks for Julia

GAS models

Score-driven models, aka generalized autoregressive score models, in Julia

A Julia machine learning framework

Bayesian inference with probabilistic programming.

Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.

21st century AD

Relax! Flux is the ML library that doesn't make you tensor

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equat…

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Read-only mirror of R source code from https://svn.r-project.org/R/, updated hourly. See the build instructions on the wiki page.

an R package for structural equation modeling and more

Automatic Differentiation in R

SQP Survey question coding system

Judgement rule aid for structural equation models

A program for the automatic analysis of MTMM data