Qbeast-spark: DataSource enabling multi-dimensional indexing and efficient data sampling. Big Data, free from the unnecessary!
-
Updated
Jul 16, 2024 - Scala
Qbeast-spark: DataSource enabling multi-dimensional indexing and efficient data sampling. Big Data, free from the unnecessary!
A Python package implementing flexible subset selection for data visualization along with the data, figures, and examples demonstrating its use.
Surrogate Modeling Toolbox
Linux OTF2 Sampling - A Lightweight Node-Level Performance Monitoring Tool
MCMC sampling algorithms for linear inverse models in R
Select, weight and analyze complex sample data
X-PSI: X-ray Pulse Simulation and Inference
R Utility Functions for the 99%
ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
Neural Network-Boosted Importance Nested Sampling for Bayesian Statistics
A python package to generate from deep learning models
A small package providing many algorithms to sample preferences
Sampling nuclear data and uncertainty
C/C++ Performance Profiler
Python package for stratifying, sampling, and estimating model performance efficiently.
🚨 slog sampling: drop repetitive log records
Module containing scripts to perform multiple comparison simultaneously and getting the exact same value as the average pairwise comparisons of molecules represented by binary fingerprints or real number descriptors.
Practical volume computation and sampling in high dimensions
An R package for sequential Poisson sampling
Add a description, image, and links to the sampling topic page so that developers can more easily learn about it.
To associate your repository with the sampling topic, visit your repo's landing page and select "manage topics."