Fredrik Bagge Carlson's repositories
MonteCarloMeasurements.jl
Propagation of distributions by Monte-Carlo sampling: Real number types with uncertainty represented by samples.
Hyperopt.jl
Hyperparameter optimization in Julia.
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
FluxOptTools.jl
Use Optim to train Flux models and visualize loss landscapes
Robotlib.jl
Robotics library written in the Julia programming language
static_kalman
An experiment in static compilation of Julia
SignalAlignment.jl
Align signals to each other
SeeToDee.jl
A small step for dynamics, a giant leap for SciML
DynamicMovementPrimitives.jl
Learning Dynamic Movement Primitives in Julia
IterativeLearningControl2.jl
Like reinforcement learning, but it works in practice
EuclideanDistanceMatrices.jl
Tools for estimating, completing and denoising Euclidean distance matrices
Turing2MonteCarloMeasurements.jl
Interface between Turing.jl and MonteCarloMeasurements.jl
SlidingDistancesBase.jl
Defines distance_profile and utilities
AcadosInterface.jl
An unofficial interface from Julia to Acados going through Casadi using PyCall
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
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