random-sampling

There are 2 repositories under random-sampling topic.

rapidsai / raft
RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.
anns building-blocks clustering cuda distance gpu information-retrieval linear-algebra llm machine-learning nearest-neighbors neighborhood-methods primitives random-sampling solvers sparse statistics vector-search vector-similarity vector-store
Language:Cuda 951
baggepinnen / Hyperopt.jl
Hyperparameter optimization in Julia.
hyperparameter-optimization optimization parameter-tuning bayesian-optimization random-sampling global-optimization hyperband bohb
Language:Julia 205
NAS-Benchmark
antoyang / NAS-Benchmark
[ICLR 2020] NAS evaluation is frustratingly hard
neural-architecture-search benchmark evaluation nas random-sampling automl differentiable-architecture-search nas-benchmark nas-evaluation
Language:Python 149
willGuimont / prosac
PROSAC algorithm in python
data-science machine-learning machine-learning-algorithms prosac random-sample-consensus random-sampling ransac ransac-algorithm
Language:Python 46
daqana / dqrng
Fast Pseudo Random Number Generators for R
r rng cran r-package random random-distributions random-generation random-sampling
Language:C++ 43
xiusu / NAS-Bench-Macro
NAS Benchmark in "Prioritized Architecture Sampling with Monto-Carlo Tree Search", CVPR2021
benchmark evaluation nas automl neural-architecture-search random-sampling nas-evaluation nas-benchmark macro-search-space
Language:Python 37
gstamatelat / random-sampling
A collection of algorithms in Java 8 for the problem of random sampling with a reservoir
algorithm reservoir-sampling stream-sampling random-sampling
Language:Java 36
probsys / optimal-approximate-sampling
Optimal approximate sampling from discrete probability distributions
random-sampling random-numbers optimization popl sampler python-library
Language:Python 18
pblischak / zprob
A Zig Module for Random Number Distributions
probability random-sampling statistics zig module
Language:Zig 17
aakankshaws / numpy-exercise
numpy practice exercise with solution
array-manipulations linear-algebra random-sampling numpy-exercises discrete-fourier-transform string-operate
Language:Jupyter Notebook 13
aneeshnaik / lintsampler
Efficient random sampling via linear interpolation.
numpy python random-generation statistics random-sampling low-discrepancy-sequence
Language:Python 13
boonemiller / Ray-Tracer
Ray Tracer implementation in C++, Random Sample AA, multi-threading, bvh acceleration, temporal denoising, soft shadows, and runtime comparisons on different CPUs
raytracer raytracing phong-lighting c-plus-plus computer-graphics multithreading random-sampling bvh-tree acceleration-data-structures
Language:C 13
Data-Science-Portfolio
EmilienN / Data-Science-Portfolio
machine-learning-supervised machine-learning-unsupervised data-visualization logistic-regression random-sampling ridge lasso elastic-net random-forest smotetomek bokeh-map adaboost xgboost k-means-clustering dbscan-clustering stacking voting deep-learning lstm-neural-networks nlp
Language:Jupyter Notebook 9
zeroboo / nodejs-random-selector
A nodejs module for randomly select elements.
nodejs randomize randomness random-sampling random random-collection javascript node-js
Language:JavaScript 8
spatstat / spatstat.core
sub-package of spatstat containing core functionality for data analysis and modelling
r spatstat spatial-analysis spatial-data point-process point-pattern-analysis statistical-models statistical-inference statistical-analysis statistical-tests random-generation random-sampling statistical-diagnostics model-checking
Language:R 7
org-arl / AlphaStableDistributions.jl
Alpha stable and sub-Gaussian distributions in Julia
distributions random-sampling stable-distribution
Language:Julia 6
jlumbroso / affirmative-sampling
Reference implementation of the Affirmative Sampling algorithm by Jérémie Lumbroso and Conrado Martínez (2022). 🍀
cardinality-estimation data-streaming random-sampling affirmative-sampling probabilistic-algorithm
Language:Python 5
Snawoot / terse
Output randomly sampled lines from input stream or file
random-sampling reservoir-sampling
Language:Go 4
probcomp / TracedRandom.jl
Make Julia code probabilistic-programming-ready by allowing calls to `rand` to be annotated with traced addresses.
probabilistic-programming random-sampling tracing
Language:Julia 3
acharles7 / data-science-notebooks
Credit card fraud detection, gender classification from name etc.
credit-card-fraud-detection gender-classification random-forest random-sampling imbalanced-data
Language:Jupyter Notebook 2
Daniel-Ze / python_scripts
Collection of python scripts
go-annotation random-sampling sliding-window
Language:Python 2
Jangwonjin / valid_cdm
⚡ Validation method of cognitive diagnosis models (CDMs)
cognitive-diagnosis-models python random-sampling hierarchy
Language:Jupyter Notebook 2
Jayplect / credit-risk-classification
In this project, I used a dataset containing the historical lending activity from a peer-to-peer lending services company to build a model that can identify the creditworthiness of borrowers.
logistic-regression-classifier machine-learning random-sampling
Language:Jupyter Notebook 2
lady-bluecopper / NuDHy
Null Models for Directed Hypergraphs
hypergraphs random-sampling
Language:Jupyter Notebook 2
ocramz / splitmix-distributions
Sampling procedures for some common random variables based on splitmix
random-generation random-sampling splitmix statistics
Language:Haskell 2
smahala02 / Monte-Carlo-Simulation
A comprehensive tutorial on Monte Carlo Simulation using Python, demonstrating how random sampling and probabilistic models can be used for various real-world applications, including finance, physics, and engineering.
data-science machine-learning monte-carlo-simulation probability python random-sampling
Language:Jupyter Notebook 2
vgherard / gsample
Efficient weighted sampling without replacement in R
random-sampling
Language:R 2
gautamHCSCV / Modelling_Viscoelastic_Objects
This paper proposes an alternative data-driven hap- tic modeling method of homogeneous deformable objects based on a CatBoost approach – a variant of gradient boosting machine learning approach. In this approach, decision trees are trained sequentially to learn the required mapping function for modeling the objects.
machine-learning python random-forest random-sampling rbf catbooost feature-based-reduction
Language:Jupyter Notebook 1
Jungstershark / P-Median-Problem
The P-Median Problem project uses metaheuristic optimization to solve the p-median location problem, with Jupyter notebooks implementing random sampling and local search algorithms to minimize service distances.
alogorithms jupyter-notebook local-search metaheuristic metaheuristic-algorithms metaheuristic-optimisation metaheuristics optimization optimization-algorithms optimization-methods p-median p-median-problem python python3 random-sampling
Language:Jupyter Notebook 1
monty-se / skellam
R package for statistical modeling with the Skellam distribution, supporting inference, random sampling, and regression for differences of independent Poisson counts.
count-data estimation inference maximum-likelihood-estimation probability-distribution random-sampling regression statistical-modeling poisson-differences skellam-distribution
Language:R 1
pngo1997 / N-gram-Language-Models
Builds N-gram language modes and applies text generation.
natural-language-processing ngrams python text-generation text-preprocessing bigrams cfd greedy-algorithms laplace-smoothing nltk nucleus-sampling perplexity random-sampling trigrams unigram conditional-frequency-distribution
Language:Jupyter Notebook 1
qmyhd / Montecarlo-simulator
Monte Carlo Dice Simulator - Statistical Analysis Tool
oops-in-python probability-distribution random-sampling
Language:HTML 1
seungwoo-stat / rvMF
Fast Generation of von Mises-Fisher Distributed Pseudo-Random Vectors
random-sampling sphere von-mises-fisher
Language:R 1
shermanyan / SlamRobotFollower
This project uses two Turtlebot3 robots. One maps the environment with SLAM, and the other navigates a maze using an RRT algorithm. Shared data enables autonomous navigation without object detection. Developed using ROS tools, Gazebo, and Python scripts..
gazebo ros rviz turtlebot3 random-sampling rrt slam
Language:Python 1
sprcoder / Customer_Segmentation_ML
A machine learning project to predict Customers/Clients into correct segment to provide promotional information or for product advertising.
classification clustering decision-tree-classifier k-prototypes machine-learning oversampling-technique random-sampling sklearn-library normalization numpy
Language:Jupyter Notebook 1
wcota / datastructs-fortran
Collection of common datastructures and utility functions
datastructures fortran fortran-package-manager fpm random-sampling
Language:Fortran 1

random-sampling

rapidsai / raft

baggepinnen / Hyperopt.jl

antoyang / NAS-Benchmark

willGuimont / prosac

daqana / dqrng

xiusu / NAS-Bench-Macro

gstamatelat / random-sampling

probsys / optimal-approximate-sampling

pblischak / zprob

aakankshaws / numpy-exercise

aneeshnaik / lintsampler

boonemiller / Ray-Tracer

EmilienN / Data-Science-Portfolio

zeroboo / nodejs-random-selector

spatstat / spatstat.core

org-arl / AlphaStableDistributions.jl

jlumbroso / affirmative-sampling

Snawoot / terse

probcomp / TracedRandom.jl

acharles7 / data-science-notebooks

Daniel-Ze / python_scripts

Jangwonjin / valid_cdm

Jayplect / credit-risk-classification

lady-bluecopper / NuDHy

ocramz / splitmix-distributions

smahala02 / Monte-Carlo-Simulation

vgherard / gsample

gautamHCSCV / Modelling_Viscoelastic_Objects

Jungstershark / P-Median-Problem

monty-se / skellam

pngo1997 / N-gram-Language-Models

qmyhd / Montecarlo-simulator

seungwoo-stat / rvMF

shermanyan / SlamRobotFollower

sprcoder / Customer_Segmentation_ML

wcota / datastructs-fortran