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1-12 of 51

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

182

NNPDF

Fitting proton substructure to observation data using neural networks

Machine learning
PDF

Python
Jupyter Notebook
C
+ 5

124

DeepRank GNN

DeepRank-GNN is the graph neural network of our DeepRank package. DeepRank GNN allows to train graph neural networks to classify protein-protein interface

Machine learning
Protein-Protein Interaction

Python

104

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

iScore

A framework and predictor based on support vector machine and random walk graph kernel for scoring protein-protein interfaces.

Big data
Machine learning
Protein-Protein Interaction

Python
Cuda
Makefile
+ 1

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

laserchicken

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

Big data
Machine learning

Python
Jupyter Notebook

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

Dive

Interactively explore millions of 2D and 3D data points in your browser, without the need to install anything.

Big data
Machine learning
Visualization

HTML
JavaScript
CSS
+ 1

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