numpy practice exercise with solution
Source code written in java and python for random sampling without replacement with a reservoir
Ray Tracer implementation in C++, Random Sample AA, multi-threading, bvh acceleration, temporal denoising, soft shadows, and runtime comparisons on different CPUs
Performing common visual data analytic tasks using Python and D3.js.
Credit card fraud detection, gender classification from name etc.
Make Julia code probabilistic-programming-ready by allowing calls to `rand` to be annotated with traced addresses.
Optimal approximate sampling from discrete probability distributions
Detecting correlated columns in DBMS systems using techniques like Pearson Correlation, LSH Minhashing and Random Sampling.
Perform Data Sampling with Python
⚡ Validation method of cognitive diagnosis models (CDMs)
NAS Benchmark in "Prioritized Architecture Sampling with Monto-Carlo Tree Search", CVPR2021
The aim of this project was to sample a sports data set
A collection of random sampling algorithms in Python.
Sampling procedures for some common random variables based on splitmix
complete case analysis drops the whole column if there are missing values, arbitrary value imputation in this we can use replace (mean or median) with -1 or 99.999, end of the distribution it replaces the values with "missing" term
Reference implementation of the Affirmative Sampling algorithm by Jérémie Lumbroso and Conrado Martínez (2022). 🍀
Optimal implementation of reservoir sampling algorithm in Julia.
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