There are 5 repositories under sampling topic.
eBay's TSV Utilities: Command line tools for large, tabular data files. Filtering, statistics, sampling, joins and more.
An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
Structured Volume Sampling - sample placement algorithm for real-time volume rendering with low aliasing, for camera-in-volume case.
:balance_scale: Fast weighted random selection for Go
Clustering routines for the unit sphere
A port of HdrHistogram to Rust
ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
Poisson disk sampling in arbitrary dimensions
Qbeast-spark: DataSource enabling multi-dimensional indexing and efficient data sampling. Big Data, free from the unnecessary!
Pew Research Center Methods team R package of miscellaneous functions
A learned sampling approach for point clouds (CVPR 2019)
Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.
Samplin' Safari is a research tool to visualize and interactively inspect high-dimensional (quasi) Monte Carlo samplers.
Software suite for ranking chess positions and accurately estimating the number of legal chess positions
Sampling based statistics of wait events
In How Diffusion Models Work, you will gain a deep familiarity with the diffusion process and the models which carry it out. More than simply pulling in a pre-built model or using an API, this course will teach you to build a diffusion model from scratch.
An interactive demo application for the algorithm proposed in our SIGGRAPH Asia 2017 technical paper.
(deprecated) Rich man's profiler, a profiler for native OCaml and other executables
A curated list of awesome soundfont software, libraries, and resources.
Configurable metrics toolkit for Rust applications
pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation
Neural Network-Boosted Importance Nested Sampling for Bayesian Statistics
This is an implementation of Deutsch and Deutsch, "Latin hypercube sampling with multidimensional uniformity", Journal of Statistical Planning and Inference 142 (2012) , 763-772
Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Frauds is less than 0.00005 thus, simply applying Classification Algorithm may result in Overfitting
Better Data Splits for Machine Learning
Open source book: Spatial sampling with R
🚨 slog sampling: drop repetitive log records