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4CAT Capture & Analysis Toolkit

The 4CAT Capture and Analysis Toolkit provides modular data capture & analysis for a variety of social media platforms. Its goal is to make the capture and analysis of data from these platforms accessible to people through a web interface, without requiring any programming or web scraping skills.

Big data
python
Social media
+ 1

Python
JavaScript
HTML
+ 4

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

HyperCanny

Finds edges in high-dimensional data using the Canny algorithm.

Data Analysis
edge detection
High performance computing

C++
C
Python
+ 3

AHN point cloud viewer web service

A web service to serve large point cloud data efficiently using octrees.

Big data
Visualization

Java
Python

OMUSE

A Python environment to interface and couple oceanographic and other earth system model codes.

High performance computing
Multi-scale & multi model simulations

Fortran
Python
HTML
+ 10

laserchicken

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

Big data
Machine learning

Python
Jupyter Notebook

LitStudy

Explore scientific literature using Python from the comfort of a Jupyter notebook

Inter-operability & linked data
Text analysis & natural language processing
Visualization

Python
HTML

Citation File Format

The Citation File Format lets you provide citation metadata for software or datasets in plaintext files that are easy to read by both humans and machines.

FAIR
Inter-operability & linked data

Python

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

Inseq

Interpretability for sequence generation models 🐛 🔍

deep learning
Explainable AI
generative models
+ 2

Python
Makefile
Dockerfile

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.

Bayesian Inference
Data Analysis

Jupyter Notebook
Python

Arena-Crowds

Arena-Crowds is Python scripts for the data analysis to estimate crowd density based on WiFi positioning.

Computer networks
Networks
Network Science

Jupyter Notebook
Python