Implementation of RiskLoc, a method for localizing multi-dimensional root causes.
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Updated
Jul 15, 2024 - Python
Implementation of RiskLoc, a method for localizing multi-dimensional root causes.
Cloud-native, service based access to HDF data
EDS and EELS data analysis with HyperSpy
Python library for reading and writing scientific data format
A user interface for the hyperspy package. https://hyperspy.org/hyperspyUI
Multidimensional data analysis
multi-dimensional vector based on a one-dimensional vector
eXSpy Jupyter Notebook demos
Electron holography data analysis with HyperSpy
HyperSpy Jupyter Notebooks demos
BBoxDB is a scalable, highly available, and distributed data store for multi-dimensional big data. The software supports operations like multi-dimensional range queries and spatial joins. In addition, data streams are supported.
Luminescence data analysis with HyperSpy.
A small and fast Discrete Fourier Transform library
Multi-dimensional local filters (convolution, mathematical morphology, etc.) for Julia.
Evaluating total cross sections from differential cross sections for 2->n processes, with n>2, can be challenging. This code is intended for solving such problem for massless initial and final state particles and n=3,4 and 5. Furthermore, the framework is kept as simple as possible for this single task.
Common web components for AVS data visualization products
HoloSpy Jupyter Notebook demos
Parametric analysis/visualization +continuous-f(x) interpolation
Finding Closest Pair of Points in Multi-Dimensional Space using Divide and Conquer Algorithm
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