GitHub topics: sampling-methods

Repositories

lebrat/MongeNet

MongeNet sampler official implementation

Language: Python - Size: 16.5 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 13 - Forks: 0

Technologicat/sudoku_lhs

Latin hypercube sampler with sudoku constraint

Language: Python - Size: 26.4 KB - Last synced at: 3 days ago - Pushed at: about 8 years ago - Stars: 7 - Forks: 1

Paulpey13/Statistics-Projects_2022

Statistics Projects realized during 1st year of MSc Data Science & Artificial Intelligence

Language: Jupyter Notebook - Size: 12.9 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Jocelyne-Smith/data-science

Some R and Python code I've been working on.

Language: Jupyter Notebook - Size: 2.26 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

alan-turing-institute/PDSampler.jl 📦

Piecewise Deterministic Sampler library (Bouncy particle sampler, Zig Zag sampler, ...)

Language: Julia - Size: 12.1 MB - Last synced at: 5 days ago - Pushed at: over 4 years ago - Stars: 33 - Forks: 8

ErfanXH/Sampling

Implementation of Prior, Rejection, Likelihood and Gibbs Sampling

Language: Python - Size: 275 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ggjay9/Application-Flow-Identification

Classify applications using flow features with Random Forest and K-Nearest Neighbor classifiers. Explore augmentation techniques like oversampling, SMOTE, BorderlineSMOTE, and ADASYN for better handling of underrepresented classes. Measure classifier effectiveness for different sampling techniques using accuracy, precision, recall, and F1-score.

Language: Jupyter Notebook - Size: 90.6 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

luclaurent/MultiDOE

This MultiDOE toolbox regroups many existing tools for generating sample points using many specific DOE techniques.

Language: MATLAB - Size: 6.44 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 3

ChunyuanLI/RAS

AISTATS 2019: Reference-based Adversarial Sampling & Its applications to Soft Q-learning

Language: Jupyter Notebook - Size: 211 MB - Last synced at: 3 months ago - Pushed at: over 6 years ago - Stars: 15 - Forks: 2

iremddemir/computational_intelligence

Implementations of optimization techniques, sampling methods and evolutionary algorithms

Language: Jupyter Notebook - Size: 5.35 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

sebastian-huynh/rs-probability-calculator

User-defined python package that returns the probability of a particular color being randomly drawn without replacement.

Language: Python - Size: 43.9 KB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

koenderks/ShinyNetworks 📦

This Shiny R application serves the purpose of visualizing and comparing various free-scale and random growing graphs. Application made as part of the TquanT 2018 seminar on quantitative thinking.

Language: R - Size: 19.6 MB - Last synced at: 24 days ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

thorpn/MonteCarlo

Monte Carlo used for the seminar Monte Carlo Methods in Econometrics and Finance at the university of Copenhagen

Language: MATLAB - Size: 85 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 2

ylefay/hw_bayesian_gibbs_sampler

Project done as part of the course on Bayesian Statistics, Anna Simoni. Implementation of a block Gibbs sampler.

Language: Jupyter Notebook - Size: 1.32 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

guilgautier/PartialRejectionSampling.jl

Some implementations of partial rejection samplers

Language: Jupyter Notebook - Size: 4.23 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 0

XinHong2021/Generated-by-human-or-machine

Determine a text is written by machine or human. Texts from different domains may influence model's classification.

Language: Jupyter Notebook - Size: 485 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

mohamed-lahna/medicare-fraud-detection

A machine learning based application to help detect fraud among Medicare practitioners.

Language: Jupyter Notebook - Size: 6.61 MB - Last synced at: 5 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 2

rk800506/Sparse_dense_HOG_SVM_DET

Repository hosting code for sparse dense sampling based 2 stage HOG-SVM object detector

Language: Jupyter Notebook - Size: 146 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

dargilboa/mdma

PyTorch implementation of the Marginalizable Density Model Approximator

Language: Python - Size: 7.01 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 14 - Forks: 1

AdaptiveParticles/napari-apr-viewer

Create and view APR images in napari

Language: Python - Size: 1.25 MB - Last synced at: 5 days ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 0

jiadong5/ECE311_FA22_UIUC

Digital Signal Processing Lab, Newly updated by UIUC in Fall22

Language: Jupyter Notebook - Size: 14.2 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

phkhanhtrinh23/milliGPT Fork of cin-toy/milliGPT

This a minimal implementation of a GPT model but it has some advanced features such as temperature/ top-k/ top-p sampling, and KV Cache.

Language: Python - Size: 230 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

juyongjiang/BiCAT

This is the official source code of "BiCAT: Self-Knowledge Distillation with Bidirectional Chronological Augmentation of Transformer for Sequential Recommendation" based on TensorFlow.

Language: Python - Size: 34.7 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 15 - Forks: 3

jmanitz/samplingbook

R package: sampling procedures from the book 'Stichproben - Methoden und praktische Umsetzung mit R' by Goeran Kauermann and Helmut Kuechenhoff (2010).

Language: R - Size: 324 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 3

inespancorbo/Statistical-Computing

Mainly Non-Theory (Coding) Homework; Mainly Python

Language: Jupyter Notebook - Size: 23 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 1

siavashtab/SampSimu

Sampling and resampling techniques for random sample generation, estimation, and simulation

Language: Python - Size: 86.9 KB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 1

sharmaroshan/SECOM-Detecting-Defected-Items

Anamoly Detection for Detecting Defected Manufactured Semi-Conductors, as in this case of Classification, the Defected Chips would be very less in comparison to perfect Chips so we have apply either Over-Sampling or Under-Sampling.

Language: Jupyter Notebook - Size: 4.88 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 24 - Forks: 13

Mansourt/MATLAB_Hammersley_Sampling_for_Design_of_Experiments_DOE

Hammersley Sampling method For Design of Experiments (DOE) has been implemented in MATLAB

Language: MATLAB - Size: 47.9 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 2

tomswinburne/pafi-python

PAFI: MD evaluation of free energy barriers beyond HTST

Language: Python - Size: 34 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Andrew-Helmer/pmj-cpp

"Progressive Multi-Jittered Sample Sequences" in C++

Language: Jupyter Notebook - Size: 401 MB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 37 - Forks: 1

AleksandraAleksandrova/CS50-AI-P2-pagerank

First of the two projects for lecture 2 Uncertainty to "Artificial Intelligence with Python" Harvard course

Language: HTML - Size: 5.86 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

minaskar/cronus 📦

cronus: MCMC + MPI MADE EASY

Language: Python - Size: 7.49 MB - Last synced at: 18 days ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 1

joanitolopo/eval-sampling-methods

🔍 Evaluating Sampling Techniques for Healthcare Insurance Fraud Detection in Imbalanced Dataset.

Language: Python - Size: 188 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

mjcarter95/CondorSMC

An opportunistic SMC Sampler on HTCondor in Python

Language: Python - Size: 11.8 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

saravanabalagi/sampling_utils

Python tools to sample randomly with dont pick closest n elements constraints. Also contains a batch generator for the same to sample with replacement and with repeats if necessary.

Language: Python - Size: 14.6 KB - Last synced at: 7 days ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

a-memme/Credit_Risk_Analysis

Leveraging sampling techniques and classification algorithms to predict credit risk

Language: Jupyter Notebook - Size: 18.4 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

nmakes/multivariate-sampling

A simple utility to perform sampling from multivariate distributions (supported by a PyTorch backend)

Language: Python - Size: 1000 Bytes - Last synced at: almost 2 years ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0

AndyShih12/paradigms

Parallel Sampling of Diffusion Models

Language: Python - Size: 15.3 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 53 - Forks: 2

rafaelab/MonteCarlo_astro_course

Examples for the course Monte Carlo Methods in Astrophysics

Language: Jupyter Notebook - Size: 998 KB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0

msuzen/mixedRMT

mixedRMT: Mixed Random Matrix Theory : Practice and resources

Size: 21.5 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

PBarnaghi/F-HMC Fork of nargesiPSH/F-HMC

Implementation of folded Folded Hamiltonian Monte Carlo for data imputation and augmentation on data collected from cancer patients who self-reported their symptoms experience during chemotherapy by a team in the School of the Nursing University of California.

Size: 619 KB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

kgourgou/adaptive-importance-sampling-BN

Experimental code: adaptive importance sampling for bayesian networks.

Language: Python - Size: 39.1 KB - Last synced at: 3 months ago - Pushed at: about 6 years ago - Stars: 8 - Forks: 2

ChunyuanLI/pSGLD

AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)

Language: Matlab - Size: 27.4 MB - Last synced at: 3 months ago - Pushed at: almost 7 years ago - Stars: 35 - Forks: 12

KaustubhSapru92/Digital-Signal-Processing

To process, analyse and data extract various types of signals (electrical, sinusoidal).

Language: MATLAB - Size: 8.79 KB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

meelgroup/WAPS

A state of the art Weighted and Projected Sampler

Language: Python - Size: 2.57 MB - Last synced at: 16 days ago - Pushed at: about 3 years ago - Stars: 6 - Forks: 0

adlyZaroui/CFTP-sampling

naive implementation of the CFTP algorithm and a simple Ising model simulation

Language: Jupyter Notebook - Size: 10.7 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

jialincheoh/data-engineering-toolbox

This is a course that I did in Summer 2021 at Purdue University. It covers data processing, data sampling, and data visualizations.

Language: Jupyter Notebook - Size: 15.3 MB - Last synced at: about 2 years ago - Pushed at: almost 4 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

a1ex90/Leaven

Lightweight Surface and Volume Mesh Sampling Application for Particle-based Simulations

Language: C++ - Size: 953 KB - Last synced at: 22 days ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 0

sylvainloiseau/balancedSampling

Sampling preserving the frequencies of qualitative variables

Language: R - Size: 56.6 KB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

arntanguy/mesh_sampling

Samplers to obtain pointclouds from CAD meshes

Language: C++ - Size: 934 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 17 - Forks: 6

BonsaiNet/McNeuron

Plot, edit, generate and analysis neuron morphologies! and a lot more...

Language: Jupyter Notebook - Size: 3.95 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 1

dataobservatory-eu/streaming-sampling-algorithm

Sampling music streaming data

Language: HTML - Size: 3.66 MB - Last synced at: 6 days ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

Lesly1031/AdjKMCIF

Create the covariate-adjusted Kaplan-Meier and cumulative incidence functions

Language: JavaScript - Size: 3.6 MB - Last synced at: 7 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

subhankar01/covidfs-aihc

Official TensorFlow implementation for AIHC, Springer 2021 paper: "A Two-tier Feature Selection Method using Coalition Game and Nystrom Sampling for Screening COVID-19 from Chest X-Ray Images".

Language: Python - Size: 701 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 2

YashTrikannad/f110_rrt_star

RRT Star path planning for dynamic obstacle avoidance for the F110 Autonomous Car

Language: C++ - Size: 4.14 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 42 - Forks: 12

jimmyg1997/Python-Digital-Signal-Processing-Basics

📶 Python Scripts for the basics of Digital Signal Processing (DSP). Updating on a regular basis.

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Tobi2K/Graph-MLP-Sampling Fork of yanghu819/Graph-MLP

This is an extension of Graph-MLP (https://github.com/yanghu819/Graph-MLP). We add new sampling strategies and datasets to the original implementation.

Language: Python - Size: 8.9 MB - Last synced at: 8 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

data-integrations/sampling-aggregator

Language: Java - Size: 46.9 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 2

jamnicki/bachelor_thesis_project

System for Training-based Expansion of Tools for Proper Name Mentions Recognition Based on Active Learning

Language: Jupyter Notebook - Size: 57.3 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

SCIFER99/Simple-Stratified-Random-Sampling-with-Python-for-Machine-Learning

This is a Jupyter Notebook developing Simple & Stratified Random Sampling with Python for Machine Learning

Language: Jupyter Notebook - Size: 480 KB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

rkadey/Dealing-with-Imbalanced-Data-in-ML

Language: Jupyter Notebook - Size: 40 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

hiroyuki-kasai/Subsampled-RTR

Subsampled Riemannian trust-region (RTR) algorithms

Language: MATLAB - Size: 4.95 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 5

anniebritton/Google-Earth-Engine-Intro-Scripts

📖 🌎 Scripts written during DEVELOP training in Google Earth Engine based on modules from Colorado State University.

Language: JavaScript - Size: 40 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

VoXuanThuy/ObjectDetectionReview

Anchor Assignment and Sampling Heuristics in Deep Object Detection: A Review

Size: 853 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 9 - Forks: 2

alexandrebvd/udacity-capstone-project-credit-card-fraud-prediction

Udacity capstone project | Credit card fraud prediction | Supervised Learning | Ensemble model | Data Sampling

Language: HTML - Size: 71 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 7

simonschoe/imbalanced-learning

This workshop is part of the "Machine Learning in R" graduate course held at University of Münster, School of Business and Economics (winter term 2020/21). :mortar_board:

Language: HTML - Size: 17.1 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 1

mirkousuelli/RGBD-Triplet-Patched-Localization

RGB-D Semantic Sampling developed through OpenCV in Python based on images take by IntelSense RGB-D camera

Language: Python - Size: 5.37 GB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 1

rishawsingh/Credit-Card-Fraud-Detection

System to tell apart the transaction was from the real user who owns the credit card or the transaction was from the stolen credit card.

Language: Jupyter Notebook - Size: 124 KB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 9 - Forks: 0

VietHoang1512/MT-SGD

Stochastic Multiple Target Sampling Gradient Descent (NeurIPS 2022)

Language: Python - Size: 254 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 10 - Forks: 0

tostenzel/hypermodern-screening

Tools for efficient global sensitivity analyses for models with correlated input parameters.

Language: Python - Size: 516 KB - Last synced at: 9 months ago - Pushed at: about 5 years ago - Stars: 3 - Forks: 0

lxcnju/sampling

Some methods to sampling data points from a given distribution.

Language: Python - Size: 71.3 KB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 10 - Forks: 4

leizhang-geo/uncertainty_guided_sampling

This repository contains the code of the sampling method proposed in the paper "Zhang et al. An adaptive uncertainty-guided sampling method for geospatial prediction and its application in digital soil mapping" published in IJGIS.

Language: Python - Size: 5.67 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

divamk22/Evaluating-Performance-of-College-Students-based-on-various-Data-Mining-Techniques

The project's aim is to analyze the performnace of students of a college, based on various economical, social and demographical factors. The dataset contains 321 records of students from Vellore Institute of Technology, India. In this project, we have used various sampling techniques and various classifiers. We also experimented by applying PCA (Principal Comppnent Analysis) on the dataset

Language: Jupyter Notebook - Size: 3.7 MB - Last synced at: 3 months ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 1