Implementation of various ensemble Kalman Filter data assimilation methods in Julia
OTHER License
An acausal modeling framework for automatically parallelized scientific machine learning (SciML) ...
Estimation and hypothesis tests of calibration in Python using CalibrationErrors.jl and Calibrati...
A Julia framework for invertible neural networks
A Julia package for Adaptive Resonance Theory (ART) algorithms.
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
StateSpaceModels.jl is a Julia package for time-series analysis using state-space models.
Estimation of calibration errors.
Multi-language suite for analyzing calibration of probabilistic predictive models.
FdeSolver.jl: A Julia package for the numerical solution of fractional differential equations (FD...
A unified interface for simulating and evaluating sequential sampling models in Julia.
Fast inference for Gaussian processes in problems involving time. Partly built on results from ht...
Julia Package with SARIMA model implementation using JuMP.
Toolkit functions and example outputs for Bayesian (Structural) Vector Autoregressive (VAR) models
A statistical toolbox for diffusion processes and stochastic differential equations. Named after ...
Multi-language suite for high-performance solvers of differential equations and scientific machin...