All software
Video Annotation Software
Video Annotation Software
- Artificial intelligence
- process modeling study
- Process modelling
VSIDS learning code: "Learning Variable Activity Initialisation for Lazy Clause Generation Solvers"
VSIDS learning code: "Learning Variable Activity Initialisation for Lazy Clause Generation Solvers"
- GCN
- Graph Convolutional Networks
- lazy clause generation
- + 5
Wake-informed Lifting Line Theory: Example Code
Wake-informed Lifting Line Theory: Example Code
- Blade Loading Distributions
- Experimental Measurement Analysis
- Lifting Line
- + 3
xcrisp
Data and code underlying the publication: X-CRISP: Domain-Adaptable and Interpretable CRISPR Repair Outcome Prediction
- CRISPR
- DNA repair
- explainability
- + 3
Abinit
Abinit is a software package based on density functional theory for calculating the properties of solids.
- (C)
- (C++)
- (CMake)
- + 15
addFeatures
addFeatures adds spot images to a SCiLS Lab dataset from a list of defined mass spectral features.
- Image processing
- mass spectrometry
- (R)
admtools
Estimate age-depth models in geology and use them to transform various types of data (fossil ages, phylogenetic trees, trait evolution of lineages) between the time domain and the stratigraphic domain.
- Age-depth modeling
- Geochronology
- Sedimentology
- + 1
- (R)
Aiida-CHAMP
The aiida-champ plugin to handle the CHAMP workflow using AiiDA.
- python
- workflow
- (Python)
- (Shell)
aiproteomics
Generate and compare deep learning models for generating synthetic mass spectral libraries
- Machine learning
- mass spectrometry
- phosphoproteomics
- + 1
- ("Jupyter Notebook")
- (Python)
- (Shell)
Allelic Variation Explorer
If you are studying how single nucleotide polymorphisms are clustered in genomic samples, then the Allelic Variation Explorer can help you visualize them.
- Visualization
- (AngelScript)
- (Dockerfile)
- (Python)
MPI-AMRVAC
MPI-AMRVAC is a parallel adaptive mesh refinement framework aimed at solving (primarily hyperbolic) partial differential equations by a number of different numerical schemes. The emphasis is on (near) conservation laws and on shock-dominated problems in particular.
- (Fortran)
- (Makefile)
- (Perl)
- + 2
ANNUBeS
ANNUBeS is a deep learning framework meant to generate synthetic data and train on them neural networks aimed at developing and evaluating animals' training protocols in neuroscience.
- neural networks
- Neuroscience
- (Python)