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.

Language: Cuda - Size: 15.4 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 891 - Forks: 205

baggepinnen/Hyperopt.jl

Hyperparameter optimization in Julia.

Language: Julia - Size: 213 KB - Last synced at: 22 days ago - Pushed at: over 1 year ago - Stars: 199 - Forks: 19

antoyang/NAS-Benchmark

[ICLR 2020] NAS evaluation is frustratingly hard

Language: Python - Size: 1.23 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 145 - Forks: 23

willGuimont/prosac

PROSAC algorithm in python

Language: Python - Size: 36.1 KB - Last synced at: 5 days ago - Pushed at: 8 months ago - Stars: 44 - Forks: 7

xiusu/NAS-Bench-Macro

NAS Benchmark in "Prioritized Architecture Sampling with Monto-Carlo Tree Search", CVPR2021

Language: Python - Size: 464 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 38 - Forks: 8

daqana/dqrng

Fast Pseudo Random Number Generators for R

Language: C++ - Size: 4.32 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 33 - Forks: 8

gstamatelat/random-sampling

A collection of algorithms in Java 8 for the problem of random sampling with a reservoir

Language: Java - Size: 428 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 33 - Forks: 6

probsys/optimal-approximate-sampling

Optimal approximate sampling from discrete probability distributions

Language: Python - Size: 64.5 KB - Last synced at: 26 days ago - Pushed at: over 4 years ago - Stars: 17 - Forks: 0

aneeshnaik/lintsampler

Efficient random sampling via linear interpolation.

Language: Python - Size: 54.1 MB - Last synced at: 5 days ago - Pushed at: 9 months ago - Stars: 12 - Forks: 2

aakankshaws/numpy-exercise

numpy practice exercise with solution

Language: Jupyter Notebook - Size: 157 KB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 10 - Forks: 9

pblischak/zprob

A Zig Module for Random Number Distributions

Language: Zig - Size: 2.07 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 9 - Forks: 1

EmilienN/Data-Science-Portfolio

Language: Jupyter Notebook - Size: 54.9 MB - Last synced at: 8 months ago - Pushed at: about 5 years ago - Stars: 9 - Forks: 3

zeroboo/nodejs-random-selector

A nodejs module for randomly select elements.

Language: JavaScript - Size: 1.69 MB - Last synced at: 3 days ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 1

org-arl/AlphaStableDistributions.jl

Alpha stable and sub-Gaussian distributions in Julia

Language: Julia - Size: 26.4 MB - Last synced at: 6 days ago - Pushed at: 5 months ago - Stars: 6 - Forks: 4

spatstat/spatstat.core

sub-package of spatstat containing core functionality for data analysis and modelling

Language: R - Size: 3.83 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 6 - Forks: 9

jlumbroso/affirmative-sampling

Reference implementation of the Affirmative Sampling algorithm by Jérémie Lumbroso and Conrado Martínez (2022). 🍀

Language: Python - Size: 794 KB - Last synced at: 7 days ago - Pushed at: about 3 years ago - Stars: 5 - Forks: 0

Snawoot/terse

Output randomly sampled lines from input stream or file

Language: Go - Size: 21.5 KB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0

probcomp/TracedRandom.jl

Make Julia code probabilistic-programming-ready by allowing calls to `rand` to be annotated with traced addresses.

Language: Julia - Size: 10.7 KB - Last synced at: about 18 hours ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0

ocramz/splitmix-distributions

Sampling procedures for some common random variables based on splitmix

Language: Haskell - Size: 27.3 KB - Last synced at: 23 days ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0

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.

Language: Jupyter Notebook - Size: 149 KB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 2 - Forks: 0

Daniel-Ze/python_scripts

Collection of python scripts

Language: Python - Size: 313 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

Jangwonjin/valid_cdm

⚡ Validation method of cognitive diagnosis models (CDMs)

Language: Jupyter Notebook - Size: 1.5 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 1

vgherard/gsample

Efficient weighted sampling without replacement in R

Language: R - Size: 99.6 KB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

pngo1997/N-gram-Language-Models

Builds N-gram language modes and applies text generation.

Language: Jupyter Notebook - Size: 4.73 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

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.

Language: Jupyter Notebook - Size: 3.05 MB - Last synced at: 27 days ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

seungwoo-stat/rvMF

Fast Generation of von Mises-Fisher Distributed Pseudo-Random Vectors

Language: R - Size: 59.6 KB - Last synced at: 24 days ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

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.

Language: Jupyter Notebook - Size: 55.4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

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.

Language: Jupyter Notebook - Size: 693 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

sprcoder/Customer_Segmentation_ML

A machine learning project to predict Customers/Clients into correct segment to provide promotional information or for product advertising.

Language: Jupyter Notebook - Size: 683 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

jesussantana/Sampling

Perform Data Sampling with Python

Language: Jupyter Notebook - Size: 5.04 MB - Last synced at: 3 months ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

amitkp57/dbms-correlated-columns-detection

Detecting correlated columns in DBMS systems using techniques like Pearson Correlation, LSH Minhashing and Random Sampling.

Language: Jupyter Notebook - Size: 594 KB - Last synced at: 23 days ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

acharles7/data-science-notebooks

Credit card fraud detection, gender classification from name etc.

Language: Jupyter Notebook - Size: 2.34 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

monty-se/skellam

R package for statistical modeling with the Skellam distribution, supporting inference, random sampling, and regression for differences of independent Poisson counts.

Language: R - Size: 56.6 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

LKEthridge/SDA_Project

A Statistical Data Analysis project from TripleTen

Language: Jupyter Notebook - Size: 2.8 MB - Last synced at: 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

cicirello/small-sample-experiments

Code and data for experiments for paper "Algorithms for Generating Small Random Samples"

Language: Java - Size: 49.8 KB - Last synced at: about 22 hours ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

shyammanikandan/Loan_Default_Analysis

Analyze a loan default dataset to understand the factors that contribute to loan defaults.

Language: Jupyter Notebook - Size: 13.6 MB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

AlexBuccheri/random_sampling

Personal random sampling testing

Language: Jupyter Notebook - Size: 1.5 MB - Last synced at: 2 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

lady-bluecopper/NuDHy

Null Models for Directed Hypergraphs

Language: Jupyter Notebook - Size: 53.6 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

kweterings/MonteCarlo_Estimation

An introduction to Monte Carlo methods by estimating π. This code comes in the form of a Python program.

Language: Python - Size: 24.4 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 386 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

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

Language: C++ - Size: 76.3 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

bhattbhavesh91/text-generation-huggingface

Language: Jupyter Notebook - Size: 17.6 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

GeekEast/random-sampling-based-grouping

Create 2 item group from even number of items.

Language: TypeScript - Size: 141 KB - Last synced at: 8 days ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

AlexZasorin/fastshuf.jl

Optimal implementation of reservoir sampling algorithm in Julia.

Language: Julia - Size: 7.81 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

nani757/cca-mean-mode-arbitary-value-end-of-distribution-missing-data-

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

Language: Jupyter Notebook - Size: 802 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

gstamatelat/rsx

A collection of random sampling algorithms in Python.

Language: Python - Size: 135 KB - Last synced at: 17 days ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

dadavalangege/Sampling_Methods

The aim of this project was to sample a sports data set

Language: Jupyter Notebook - Size: 198 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

shanujshekhar/Visual_Data_Analytics

Performing common visual data analytic tasks using Python and D3.js.

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edxz7/Random-Sampling-With-A-Reservoir

Source code written in java and python for random sampling without replacement with a reservoir

Language: Java - Size: 779 KB - Last synced at: 2 months ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 1