Ctrl K

Limited functionality: Your browser does not support JavaScript.

Software Highlights

Browse all Highlights

All software

1Filter

Order by

Keywords

Program languages

Licenses

1-12 of 39

spec2vec

spec2vec is a novel similarity measure for comparing mass spectrometry data, which learns peak representations using Word2Vec.

Machine learning
Text analysis & natural language processing

Python
Batchfile
Makefile

145

GrainLearning

Unsure about the parameters of your grains in a computer simulation? Use Iterative Bayesian Filtering to learn parameter distributions from limited data. Is your model running slowly? Speed up your simulations with machine-learning surrogates. All these features are integrated within GrainLearning.

Bayesian Inference
Data assimilation
Machine learning
+ 2

Jupyter Notebook
Python
PureBasic
+ 1

DeepRank

Deep learning framework for data mining protein-protein interactions using CNN

Big data
Machine learning
Optimized data handling

Python
R
C
+ 2

mcfly

Helps you find a suitable neural network configuration for deep learning on time series.

auto-ml
deep learning
Machine learning
+ 1

JavaScript
Python
CSS
+ 1

GSA report

GSAreport is an application to easily generate reports that describe the global sensitivities of your input parameters as best as possible. You can use the reporting application to inspect which features are important for a given real world function / simulator or model.

Explainable AI
Machine learning
python
+ 1

Python
HTML
CSS
+ 1

DIANNA

Deep Insight And Neural Network Analysis, DIANNA is the only Explainable AI, XAI library for scientists supporting Open Neural Network Exchange, ONNX - the de facto standard models format.

Explainable AI
Image processing
Machine learning
+ 2

Jupyter Notebook
Python
TeX

laserchicken

Toolkit for preprocessing and feature calculation of point clouds created using airborne laser scanning

Big data
Machine learning

Python
Jupyter Notebook

FastMLC

Detect clusters in for example large collections of DNA or protein sequences, and visualize the results in a web browser.

Big data
Machine learning
Visualization

C++
C
Makefile
+ 5

Clustering Geo-data Cubes

Tool to perform cluster analysis of multi-dimensional geospatial data, running on local or distributed systems.

Big data
geospatial
Machine learning
+ 1

Python
Jupyter Notebook
TeX

DoE2Vec

DoE2Vec is a self-supervised approach to learn exploratory landscape analysis features from design of experiments. The model can be used for downstream meta-learning tasks such as learninig which optimizer works best on a given optimization landscape.

Machine learning
optimization
python

Python
R
Makefile

eEecology Classification

Automatic classification of accelerometer data using a supervised learning approach.

Machine learning

Java
JavaScript
HTML
+ 3

MapReader

MapReader is an end-to-end computer vision (CV) pipeline for exploring and analyzing images at scale.

computer vision
digital humanities
geospatial
+ 4

Jupyter Notebook
Python
TeX