#Sampling

Showing 13 of 13 repositories tagged #sampling, ranked by stars

dathere
dathere
qsv

Blazing-fast Data-Wrangling toolkit

Score
0
★ 3.7k ⑂ 104 +3/day
Rust
eBay
eBay
tsv-utils

eBay's TSV Utilities: Command line tools for large, tabular data files. Filtering, statistics, sampling, joins and more.

Score
100
★ 1.5k ⑂ 83
D
SMTorg
SMTorg
smt

SMT: The Surrogate Modeling Toolbox

Score
100
★ 897 ⑂ 230 +2/day
Jupyter Notebook
CHATS-lab
CHATS-lab
verbalized-sampling

Verbalized Sampling, a training-free prompting strategy to mitigate mode collapse in LLMs by requesting responses with probabilities. Achieves 2-3x diversity improvement while maintaining quality. Model-agnostic framework with CLI/API for creative writing, synthetic data generation, and dialogue simulation.

Score
100
★ 773 ⑂ 83 +2/day
Python
benedekrozemberczki
benedekrozemberczki
littleballoffur

Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)

Score
80
★ 716 ⑂ 54 +1/day
Python
mroth
mroth
weightedrand

⚖️ Fast weighted random selection for Go

Score
0
★ 417 ⑂ 48
Go
itailang
itailang
SampleNet

Differentiable Point Cloud Sampling (CVPR 2020 Oral)

Score
40
★ 392 ⑂ 41
Python
cdslaborg
cdslaborg
paramonte

ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.

Score
60
★ 307 ⑂ 36 +1/day
Fortran
orendv
orendv
learning_to_sample

A learned sampling approach for point clouds (CVPR 2019)

Score
0
★ 182 ⑂ 20
Python
Ryota-Kawamura
Ryota-Kawamura
How-Diffusion-Models-Work

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.

Score
20
★ 175 ⑂ 94 +1/day
Jupyter Notebook
sharmaroshan
sharmaroshan
Fraud-Detection-in-Online-Transactions

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

Score
50
★ 97 ⑂ 30
Jupyter Notebook
sahilm89
sahilm89
lhsmdu

This is an implementation of Deutsch and Deutsch, "Latin hypercube sampling with multidimensional uniformity", Journal of Statistical Planning and Inference 142 (2012) , 763-772

Score
0
★ 80 ⑂ 18
HTML
JosepER
JosepER
Book_How_to_weight_a_survey

This is an introductory guide to survey weighting. It provides a step-by-step walkthrough of the main procedures and explains the statistical principles behind them. The guide includes R code to implement all stages of survey weighting and reproduces the weighting procedures of the 7th European Social Survey in the UK.

Score
0
★ 40 ⑂ 12
HTML
Related Topics
#machine-learning#deep-learning#statistics#python#neural-network#csv#geometry-processing#point-cloud#data-analysis#ai#ckan#data-engineering

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