ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
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Updated
May 28, 2024 - Fortran
ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
Identifying the number of locations affected by different flood return periods using dataset of polish address points, flood hazard maps and administrative unit boundaries.
Sampling nuclear data and uncertainty
Surrogate Modeling Toolbox
Toolkit aimed on Character Personalities Extraction from Literature Novel Books with Experiments organization in separate folders
This is the source code for Statistical Audit Sampling with R (SASR), a (work in progress) book intended as a practical guide to Bayesian and classical auditing in the programming language R, with hands-on examples. Read the full book at https://koenderks.github.io/sasr.
Bioinformatics library in Kotlin
The GitHub repository for "Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin Dynamics", ICML 2024
Qbeast-spark: DataSource enabling multi-dimensional indexing and efficient data sampling. Big Data, free from the unnecessary!
Linux OTF2 Sampling - A Lightweight Node-Level Performance Monitoring Tool
Neural Network-Boosted Importance Nested Sampling for Bayesian Statistics
X-PSI: X-ray Pulse Simulation and Inference
A python library for metabolic networks sampling and analysis
C/C++ Performance Profiler
OntoSample is a python package that offers classic sampling techniques for OWL ontologies/knowledge bases. Furthermore, we have tailored the classic sampling techniques to the setting of concept learning making use of learning problem.
[ISPRS P&RS] Unsupervised shape-aware SOM down-sampling for plant point clouds
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