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 primitives random-sampling solvers sparse statistics vector-search vector-similarity vector-store neighborhood-methods
Language:Cuda 608
baggepinnen / Hyperopt.jl
Hyperparameter optimization in Julia.
bayesian-optimization bohb global-optimization hyperband hyperparameter-optimization optimization parameter-tuning random-sampling
Language:Julia 198
NAS-Benchmark
antoyang / NAS-Benchmark
[ICLR 2020] NAS evaluation is frustratingly hard
automl benchmark differentiable-architecture-search evaluation nas nas-benchmark nas-evaluation neural-architecture-search random-sampling
Language:Python 150
xiusu / NAS-Bench-Macro
NAS Benchmark in "Prioritized Architecture Sampling with Monto-Carlo Tree Search", CVPR2021
automl benchmark evaluation macro-search-space nas nas-benchmark nas-evaluation neural-architecture-search random-sampling
Language:Python 38
willGuimont / PROSAC
PROSAC algorithm in python
ransac ransac-algorithm prosac data-science machine-learning machine-learning-algorithms random-sample-consensus random-sampling
Language:Python 37
daqana / dqrng
Fast Pseudo Random Number Generators for R
r rng cran r-package random random-distributions random-generation random-sampling
Language:C++ 33
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 32
probsys / optimal-approximate-sampling
Optimal approximate sampling from discrete probability distributions
random-sampling random-numbers optimization popl sampler python-library
Language:Python 16
aakankshaws / numpy-exercise
numpy practice exercise with solution
array-manipulations linear-algebra random-sampling numpy-exercises discrete-fourier-transform string-operate
Language:Jupyter Notebook 12
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 12
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
org-arl / AlphaStableDistributions.jl
Alpha stable and sub-Gaussian distributions in Julia
distributions random-sampling stable-distribution
Language:Julia 6
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 6
pblischak / zprob
A Zig Module for Probability Distributions
module probability random-sampling statistics zig
Language:Zig 4
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 3
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
Snawoot / terse
Output randomly sampled lines from input stream or file
random-sampling reservoir-sampling
Language:Go 3
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 hierarchy python random-sampling
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
ocramz / splitmix-distributions
Sampling procedures for some common random variables based on splitmix
random-generation random-sampling statistics splitmix
Language:Haskell 2
acharles7 / data-science-notebooks
Credit card fraud detection, gender classification from name etc.
credit-card-fraud-detection gender-classification imbalanced-data random-forest random-sampling
Language:Jupyter Notebook 1
amitkp57 / dbms-correlated-columns-detection
Detecting correlated columns in DBMS systems using techniques like Pearson Correlation, LSH Minhashing and Random Sampling.
pearson-correlation minhash-lsh-algorithm random-sampling
Language:Jupyter Notebook 1
aneeshnaik / lintsampler
Efficient random sampling via linear interpolation.
numpy python random-generation statistics random-sampling
Language:Python 1
bhattbhavesh91 / text-generation-huggingface
beam-search gpt-2 greedy-search huggingface huggingface-transformers random-sampling text-generation
Language:Jupyter Notebook 1
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.
catbooost feature-based-reduction machine-learning python random-forest random-sampling rbf
Language:Jupyter Notebook 1
jesussantana / Sampling
Perform Data Sampling with Python
python sampling random-sampling systematic-sampling stratified-sampling smote-sampling reservoir-sampling preprocessing
Language:Jupyter Notebook 1
seungwoo-stat / rvMF
Fast Generation of von Mises-Fisher Distributed Pseudo-Random Vectors
random-sampling sphere von-mises-fisher
Language:R 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
vgherard / gsample
Efficient weighted sampling without replacement in R
random-sampling
Language:R 1
acdmammoths / Bavarian-code
Code for the paper "Bavarian: Betweenness Centrality Approximation with Variance-Aware Rademacher Averages", by Chloe Wohlgemuth, Cyrus Cousins, and Matteo Riondato, appearing in ACM KDD'21 and ACM TKDD'23
betweenness betweenness-centrality centrality centrality-measures centrality-metrics rademacher rademacher-complexity random-sampling randomized-algorithms
Language:C++ 0
kweterings / MonteCarlo_Estimation
An introduction to Monte Carlo methods by estimating π. This code comes in the form of a Python program.
computation graph interation interations math mathematics matplotlib matplotlib-pyplot monte-carlo monte-carlo-simulation plot python random random-sampling
Language:Python 0
lady-bluecopper / NuDHy
Null Models for Directed Hypergraphs
hypergraphs random-sampling
Language:Jupyter Notebook 0
PneumoniaImagesANN
EdinZiga / PneumoniaImagesANN
CS404 Artificial Intelligence final project. This project is based on the Pneumonia Images dataset found on Kaggle. The goal was to classify the images using classic Artificial Neural Networks.
artifical-intelligense grayscale image-classification images neural-network pneumonia pneumonia-classification pneumonia-detection random-sampling sampling-methods scratch-implementation tensorflow
Language:Jupyter Notebook
GeekEast / random-sampling-based-grouping
Create 2 item group from even number of items.
random-sampling grouping graphql
Language:TypeScript

random-sampling

rapidsai / raft

baggepinnen / Hyperopt.jl

antoyang / NAS-Benchmark

xiusu / NAS-Bench-Macro

willGuimont / PROSAC

daqana / dqrng

gstamatelat / random-sampling

probsys / optimal-approximate-sampling

aakankshaws / numpy-exercise

boonemiller / Ray-Tracer

EmilienN / Data-Science-Portfolio

zeroboo / nodejs-random-selector

org-arl / AlphaStableDistributions.jl

spatstat / spatstat.core

pblischak / zprob

jlumbroso / affirmative-sampling

probcomp / TracedRandom.jl

Snawoot / terse

Daniel-Ze / python_scripts

Jangwonjin / valid_cdm

Jayplect / credit-risk-classification

ocramz / splitmix-distributions

acharles7 / data-science-notebooks

amitkp57 / dbms-correlated-columns-detection

aneeshnaik / lintsampler

bhattbhavesh91 / text-generation-huggingface

gautamHCSCV / Modelling_Viscoelastic_Objects

jesussantana / Sampling

seungwoo-stat / rvMF

sprcoder / Customer_Segmentation_ML

vgherard / gsample

acdmammoths / Bavarian-code

kweterings / MonteCarlo_Estimation

lady-bluecopper / NuDHy

EdinZiga / PneumoniaImagesANN

GeekEast / random-sampling-based-grouping