Fredrik Bagge Carlson's repositories
MonteCarloMeasurements.jl
Propagation of distributions by Monte-Carlo sampling: Real number types with uncertainty represented by samples.
ControlSystemIdentification.jl
System Identification toolbox, compatible with ControlSystems.jl
LowLevelParticleFilters.jl
State estimation, smoothing and parameter estimation using Kalman and particle filters.
DynamicAxisWarping.jl
Dynamic Time Warping (DTW) and related algorithms in Julia, at Julia speeds
static_kalman
An experiment in static compilation of Julia
SeeToDee.jl
A small step for dynamics, a giant leap for SciML
TrajectoryLimiters.jl
Nonlinear filters to create dynamically feasible reference trajectories
SignalAlignment.jl
Align signals to each other
DynamicMovementPrimitives.jl
Learning Dynamic Movement Primitives in Julia
LPVSpectral.jl
Least-squares (sparse) spectral estimation and (sparse) LPV spectral decomposition.
IterativeLearningControl2.jl
Like reinforcement learning, but it works in practice
EuclideanDistanceMatrices.jl
Tools for estimating, completing and denoising Euclidean distance matrices
IndependentComponentAnalysis.jl
Fast implementations of FastICA and DUET for blind source separation
AcadosInterface.jl
An unofficial interface from Julia to Acados going through Casadi using PyCall
Turing2MonteCarloMeasurements.jl
Interface between Turing.jl and MonteCarloMeasurements.jl
SlidingDistancesBase.jl
Defines distance_profile and utilities
ActiveDisturbanceRejectionControl.jl
Proof that linear ADRC is equivalent to PI(D) control with set-point weighting
AllocCheck.jl
AllocCheck
ControlSystems.jl
A Control Systems Toolbox for Julia
DiffEqCallbacks.jl
A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers
JobSchedulers.jl
A Julia-based job scheduler and workload manager inspired by Slurm, PBS and Crontab.
ModelingToolkitStandardLibrary.jl
A standard library of components to model the world and beyond
Optimization.jl
Local, global, and beyond optimization for scientific machine learning (SciML)
OptimizationBase.jl
The base package for Optimization.jl, containing the structs and basic functions for it.
SciMLBenchmarks.jl
Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R
SymbolicIndexingInterface.jl
A general interface for symbolic indexing of SciML objects used in conjunction with Domain-Specific Languages
Telegram.jl
Native Julia Telegram bot api wrapper