poisson-distribution

There are 119 repositories under poisson-distribution topic.

  • thinks/poisson-disk-sampling

    Single file, header-only, no-dependencies C++ library for Poisson disk sampling in arbitrary dimensions.

    Language:C++1085617
  • astralord/RandLib

    :rocket: A library designed to facilitate work with probability, statistics and stochastic calculus

    Language:C++6981611
  • JordanRL/Fermat

    A library providing math and statistics operations for numbers of arbitrary size.

    Language:PHP647436
  • octosport/octopy

    Python implementation of various soccer/football analytics methods such as Poisson goals prediction, Shin method, machine learning prediction... This is a companion python module for octosport medium blog.

    Language:Jupyter Notebook612226
  • mohd-faizy/Probabilistic-Deep-Learning-with-TensorFlow

    Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of deep learning that aims to quantify the noise and uncertainty that is often present in real-world datasets.

    Language:Jupyter Notebook581034
  • gburtini/Probability-Distributions-for-PHP

    PHP implementation of statistical probability distributions: normal distribution, beta distribution, gamma distribution and more.

    Language:PHP57101917
  • hpaulkeeler/posts

    Pieces of code that have appeared on my blog with a focus on stochastic simulations.

    Language:Python460022
  • monty-se/PINstimation

    A comprehensive bundle of utilities for the estimation of probability of informed trading models: original PIN in Easley and O'Hara (1992) and Easley et al. (1996); Multilayer PIN (MPIN) in Ersan (2016); Adjusted PIN (AdjPIN) in Duarte and Young (2009); and volume-synchronized PIN (VPIN) in Easley et al. (2011, 2012). Implementations of various estimation methods suggested in the literature are included. Additional compelling features comprise posterior probabilities, an implementation of an expectation-maximization (EM) algorithm, and PIN decomposition into layers, and into bad/good components. Versatile data simulation tools, and trade classification algorithms are among the supplementary utilities. The package provides fast, compact, and precise utilities to tackle the sophisticated, error-prone, and time-consuming estimation procedure of informed trading, and this solely using the raw trade-level data.

    Language:R30245
  • jeinselen/VF-BlenderPointArray

    Generate point arrays for Geometry Nodes using cubic grid, golden angle (Fermat's spiral), poisson disc sampling, or import points from data sources in CSV, NPY, and VF (Unity 3D volume field) formats.

    Language:Python19303
  • apaar97/epl-ranktable-prediction

    Prediction of Premier league standings using Poisson distribution

    Language:Jupyter Notebook17307
  • SciML/PoissonRandom.jl

    Fast Poisson Random Numbers in pure Julia for scientific machine learning (SciML)

    Language:Julia15456
  • jxareas/Linear-Regression

    Data Wrangling, Linear Models & other misc. Inferential Statistics.

    Language:R14100
  • ileanadatamania/Data-Science-Portfolio

    Data Science Portfolio

    Language:Jupyter Notebook13109
  • lanl/pyCP_APR

    CP-APR Tensor Decomposition with PyTorch backend. pyCP_APR can perform non-negative Poisson Tensor Factorization on GPU, and includes an interface for anomaly detection using the extracted latent patterns.

    Language:Python11526
  • SrGrace/10-Days-of-Statistics-Challenges

    10 Days of Statistics Challenges at HackerRank

    Language:C++112012
  • arasgungore/central-limit-theorem

    A MATLAB project which applies the central limit theorem on PDFs and CDFs of different probability distributions.

    Language:MATLAB920
  • nhchristianson/PoissonHMM

    A Python library for working with and training Hidden Markov Models with Poisson emissions.

    Language:Python9204
  • Victor-DS/FootballProbabilityModels

    A collection of probability models applied to football

    Language:Java8202
  • Danfoa/attacks_on_complex_networks

    In this work, we examine the resilience of two complex network types (Erdos Renyi, and Power-Law/Scale-free) to potential delivered attacks and random errors.

    Language:Jupyter Notebook7003
  • meet-aleksey/php-football-simulation

    Calculating attack strength and defense of teams. Determining games results using Poisson Distribution.

    Language:PHP7120
  • aveedibya/operationSimulation

    Simulation model to run scenarios on staffing/operations readiness for a call center

    Language:Python6204
  • leiruoshan/MFPointNet_feature_dataset

    A machining feature dataset called MFDataset, containing 33 subcategories features.

  • MikeStrenk/Modeling-the-World-Cup-2018

    Making World Cup 2018 predictions using statistical modeling with Python and player data from the FIFA 18 video game.

    Language:Jupyter Notebook5304
  • senzelden/supermarket_simulation

    A Markov-chain based supermarket simulation.

    Language:Jupyter Notebook5203
  • kirtiJain25/FDP_18

    This repository contains FDP'18 presentations and R scripts.

    Language:R4101
  • mervess/images-to-spikes

    Convert your image data to a Poisson spike source.

    Language:Python4000
  • Uttarayan002/Multivariate-Distribution

    Implementing multivariate distribution using python.

    Language:Python4
  • englianhu/lottery

    Lottery analysis

    Language:HTML340
  • IAmS4n/Matrix-Factorization

    Finding of the missed values in the adjacency matrix of a big undirected weighted graph by utilizing probabilistic graphical models. The adjacency matrix's values were modeled with Poisson distribution and Gamma prior.

    Language:Python3100
  • DistributionPlots

    jobtalle/DistributionPlots

    Distribution plots

    Language:JavaScript330
  • explcre/21FallVE414Project-Gaussian-Mixture-Model

    Position prediction of invisible tree using EM algorithm of GMM. We used Python's Matplotlib data visualization and preprocessed to determine the fruit distribution. BIC and AIC indexes were used to determine the number of cluster categories, and Gaussian mixture model was used to cluster according to the fruit data to predict the coordinates of the number. We use poission distribution to predict the distribution of the whole forest.

    Language:Jupyter Notebook2100
  • mmarie4/klaus

    NodeJS / ReactJS web application for football pronostics

    Language:JavaScript21
  • sabato-nocera/distribuzione-di-poisson

    📊📉 Studio della variabile aleatoria di Poisson

    Language:R2100
  • sanjushasuresh/GENERATION-OF-RANDOM-SAMPLES

    Generation of random samples using R

    Language:R2100
  • Sid-149/10-Days-of-Statistics

    This repository contains the solutions to HackerRank's 10 Days of Statistics.

    Language:Python2201
  • vincentpun123/MSDS410-Data-Modeling-for-Supervised-Learning

    MSDS 410 Data Modeling for Supervised Learning (R)

    Language:HTML2100