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Software Highlights

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1-12 of 84

ESMValCore

ESMValTool Core: core functionalities and driver for ESMValTool, a community diagnostic and performance metrics tool for routine evaluation of Earth System Models in CMIP.

Big data
Optimized data handling
Visualization
+ 1

Python
Jupyter Notebook
HTML
+ 5

107

NNPDF

Fitting proton substructure to observation data using neural networks

Machine learning
PDF

Python
Jupyter Notebook
CSS
+ 4

106

MS2DeepScore

Deep learning based similarity measure of mass spectrometry data.

Jupyter Notebook
Python

101

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

Scholia

Graphical User Interface around Wikidata that uses SPARQL to collect data

Wikidata

JavaScript
Python
HTML
+ 3

QMflows

Construction and efficient execution of computational chemistry workflows.

Multi-scale & multi model simulations
Workflow technologies

Python
Jupyter Notebook
Shell

dtscalibration

A Python package to load raw Distributed Temperature Sensing (DTS) files, perform a calibration, and plot the result.

calibration
DTS
fiber optic
+ 1

Python
Jupyter Notebook

PROTEUS

PROTEUS is a Python framework that simulates the coupled evolution of the atmospheres and interiors of rocky planets.

Exoplanets
model coupling

Jupyter Notebook
Python
Julia
+ 1

Ersilia Model Hub

The Ersilia Model Hub is an open source platform to serve AI/ML models for infectious disease drug discovery.

AI
Chemistry
Drug discovery
+ 1

Python
Jupyter Notebook
Dockerfile
+ 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

swyft

swyft is the official implementation of Truncated Marginal Neural Ratio Estimation, a hyper-efficient, simulation-based inference technique for complex data and expensive simulators.

Jupyter Notebook
Python