All software
SyGMa
SyGMa provides fast and lightweight predictions of human metabolites to support discovery scientists design better and safer drugs
- Workflow technologies
- Python
agda-core
Code underlying the publication: Building a Correct-By-Construction Type Checker for a Dependently Typed Core Language
- core language
- Dependent Types
- type-checking
- + 2
- Other
- Haskell
- YAML
- + 1
Code supporting the paper: High-speed predictions of post-burn contraction using a neural network trained on 2D-finite element simulations
Code supporting the paper: High-speed predictions of post-burn contraction using a neural network trained on 2D-finite element simulations
- Feedforward neural network
- Machine learning
- Monte Carlo simulations
- + 2
Code to produce the results of the publication: “Reducing the Soleus Stretch Reflex with Conditioning: Exploring Game- and Impedance-based Biofeedback”
Code to produce the results of the publication: “Reducing the Soleus Stretch Reflex with Conditioning: Exploring Game- and Impedance-based Biofeedback”
- Electromyography (EMG)
- Gamification
- operant conditioning
- + 2
Code underlying the publication: Exploiting Learned Symmetries in Group Equivariant Convolutions
Code underlying the publication: Exploiting Learned Symmetries in Group Equivariant Convolutions
- equivariance
- equivariant convolutions
- separable convolutions
- Python
- Other
- Markdown
Code underlying the publication: "Humans disagree with the IoU for measuring object detector localization error."
Code underlying the publication: "Humans disagree with the IoU for measuring object detector localization error."
- Human preference
- Intersection over Union (IoU)
- Object detection
- Jupyter Notebook
- Other
- Markdown
Dataset of human gait in a domestic setup collected with an LFMCW MIMO radar
Dataset of human gait in a domestic setup collected with an LFMCW MIMO radar
- doppler signature
- fmcw radar
- gait
- + 4
Data underlying the publication/thesis chapter: Scale Learning in Scale-Equivariant Convolutional Networks
Data underlying the publication/thesis chapter: Scale Learning in Scale-Equivariant Convolutional Networks
- computer vision
- Convolutional neural network (CNN)
- equivariance
- + 3
- Jupyter Notebook
- Python
- Markdown
- + 5
Dynamic-Graph-Decomposition
Code underlying the publication: Tensor Graph Decomposition for Temporal Networks
- decomposition
- dynamic graphs
- graph signal processing
- + 1
- Matlab
- Other
Multistage-PINN
Code underlying the publication: Multistage physics informed neural network for solving coupled multiphysics problems in material degradation and fluid dynamics
- Asphalt aging
- Multiphysics modeling
- Multistage learning
- + 2
- Jupyter Notebook
- Markdown
- Other
OFF framework, code underlying the publication A dynamic open-source model to investigate wake dynamics in response to wind farm flow control strategies
OFF framework, code underlying the publication A dynamic open-source model to investigate wake dynamics in response to wind farm flow control strategies
- dynamic parametric wake model
- surrogate wake model
- wind farm flow control
- + 1
- Other
- YAML
- HTML
- + 7
oraqle
Oraqle: A Depth-Aware Secure Computation Compiler
- arithmetization
- compiler
- cryptography
- + 1
- Python
- Other
- Markdown
- + 4