Hyperparameter optimization in Julia.
[ICLR 2020] NAS evaluation is frustratingly hard
NAS Benchmark in "Prioritized Architecture Sampling with Monto-Carlo Tree Search", CVPR2021
A collection of algorithms in Java 8 for the problem of random sampling with a reservoir
PROSAC algorithm in python
Optimal Approximate Sampling from Discrete Probability Distributions
numpy practice exercise with solution
Ray Tracer implementation in C++, Random Sample AA, multi-threading, bvh acceleration, temporal denoising, soft shadows, and runtime comparisons on different CPUs
A nodejs module for randomly select elements.
sub-package of spatstat containing core functionality for data analysis and modelling
Alpha stable and sub-Gaussian distributions in Julia
Make Julia code probabilistic-programming-ready by allowing calls to `rand` to be annotated with traced addresses.
Reference implementation of the Affirmative Sampling algorithm by Jérémie Lumbroso and Conrado Martínez (2022).
Collection of python scripts
Perform Data Sampling with Python
A machine learning project to predict Customers/Clients into correct segment to provide promotional information or for product advertising.
Sampling procedures for some common random variables based on splitmix
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