AlCap23
PhD Candidate interested in data driven modeling and control.
Otto-von-Guericke UniversityMagdeburg, Germany
Pinned Repositories
alcap23.github.io
Personal site and maybe blog
crrn_2018
Some teaching stuff
DataDrivenDiffEq.jl
A simple package for data driven modeling of dynamical systems
GeometricRobotDynamicIdentification.jl
Convex estimation of rigid body parameters
IfT_Decoupling
Investigation of several decoupling techniques used for simple transfer function matrix models
pybullet_playground
Some things you can do with pybullet
Surrgeon.jl
Cut surrogates with numerical precision
universal_differential_equations
Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high performance SciML
DynamicOED.jl
Optimal experimental design of ODE and DAE systems in julia
DataDrivenDiffEq.jl
Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization
AlCap23's Repositories
AlCap23/GeometricRobotDynamicIdentification.jl
Convex estimation of rigid body parameters
AlCap23/DataDrivenDiffEq.jl
A simple package for data driven modeling of dynamical systems
AlCap23/Surrgeon.jl
Cut surrogates with numerical precision
AlCap23/alcap23.github.io
Personal site and maybe blog
AlCap23/DelayEmbeddings.jl
Delay coordinates embedding, Datasets and neighborhoods
AlCap23/DiffEqDocs.jl
Documentation for the DiffEq ecosystem
AlCap23/DiffEqFlux.jl
DifferentialEquations.jl + Flux.jl = Neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers
AlCap23/DynamicExpressions.jl
Ridiculously fast dynamic expressions.
AlCap23/HelicopterSciML.jl
Helicopter Scientific Machine Learning (SciML) Challenge Problem
AlCap23/IMPRS2021
AlCap23/IntegerDecisionTrees.jl
Discrete all the way.
AlCap23/ModelingToolkit.jl
A modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
AlCap23/MTKExample
A basic usage example for modelling, simulation and parameter estimation in Julia
AlCap23/NonconvexCore.jl
All the interface functions and structs of Nonconvex.jl.
AlCap23/NonconvexUtils.jl
Some convenient hacks when using Nonconvex.jl.
AlCap23/Optimization.jl
Local, global, and beyond optimization for scientific machine learning (SciML)
AlCap23/phobos
An add-on for Blender allowing to create URDF and SMURF robot models in a WYSIWYG environment.
AlCap23/RigidBodyTools.jl
Most of the time, I need to do stuff I most likely already did.
AlCap23/robot_remote_control
A library for framework independent remote control of semi-autonomous robots. The library is in active development and might change a lot.
AlCap23/ScientificComputingSeminar2021
AlCap23/SciMLDocs
Global documentation for the Julia SciML Scientific Machine Learning Organization
AlCap23/Surrogates.jl
Surrogate modeling and optimization
AlCap23/SymbolicNumericIntegration.jl
SymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals
AlCap23/SymbolicRegression.jl
Distributed High-Performance symbolic regression in Julia
AlCap23/Symbolics.jl
A fast and modern CAS for a fast and modern language.
AlCap23/SymPoly.jl
AlCap23/Tracker.jl
Flux's ex AD
AlCap23/universal_differential_equations-1
Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high performance SciML
AlCap23/urdf_parser_py
Standalone URDF parser for Python.
AlCap23/urdfpy
Python parser for URDFs