clegaard
PhD student at Aarhus University until July 31st, 2023. My core research area is the intersection of traditional modelling & simulation and machine learning.
Aarhus UniversityAarhus, Denmark
Pinned Repositories
acrs
Temporary repo for advanced robotic control systems until access is granted
au-sweng-image
Software installation script and course handouts for Aarhus University Software Enginnering
clegaard.github.io
clipboard-code-highlighter
Syntax highlighting of clipboard code snippet using pygments
cosim-python
deep_learning_for_dynamical_systems
DefinitelyTyped
The repository for high quality TypeScript type definitions.
dl-dynamical-systems-annsim2022
DOA
Repository for school projects related to data structures and algorithms
ml_dynamical_systems_presentation
clegaard's Repositories
clegaard/deep_learning_for_dynamical_systems
clegaard/ml_dynamical_systems_presentation
clegaard/acrs
Temporary repo for advanced robotic control systems until access is granted
clegaard/au-sweng-image
Software installation script and course handouts for Aarhus University Software Enginnering
clegaard/clegaard.github.io
clegaard/clipboard-code-highlighter
Syntax highlighting of clipboard code snippet using pygments
clegaard/cosim-python
clegaard/DefinitelyTyped
The repository for high quality TypeScript type definitions.
clegaard/dl-dynamical-systems-annsim2022
clegaard/DOA
Repository for school projects related to data structures and algorithms
clegaard/gitignore
A collection of useful .gitignore templates
clegaard/phd_thesis_supplemental_code
Supplemental code for my PhD thesis
clegaard/into-cps-application
clegaard/latex_intocps_graphical
clegaard/manipulator-datasets
List of datasets related to robotic manipulators
clegaard/metrixplusplus
Metrix++ is an extendable tool for code metrics collection and analysis.
clegaard/network_programming
Programming examples in network programming undergraduates in computer engineering and electrical engineering.
clegaard/neuromancer
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
clegaard/numpy
The fundamental package for scientific computing with Python.
clegaard/protobuf
Protocol Buffers - Google's data interchange format
clegaard/psl
clegaard/pyfmu_paper
clegaard/pyproject_tutorial
Code for small tutorial on how to combine pyproject.toml and Conda based packaging
clegaard/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
clegaard/quick-xml
Rust high performance xml reader and writer
clegaard/reduced_order_models
clegaard/slim
Drop-in replacements for PyTorch nn.Linear for stable learning and inductive priors in physics informed machine learning applications.
clegaard/torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
clegaard/unifmu
A universal mechanism for implementing Functional Mock-up Units (FMUs) in various languages
clegaard/zmq.rs
A native implementation of ØMQ in Rust