poisson-distribution
There are 2 repositories under poisson-distribution topic.
astralord / RandLib
:rocket: A library designed to facilitate work with probability, statistics and stochastic calculus
Language:C++ 71- Language:PHP 65
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 Notebook 62octosport / 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 Notebook 61gburtini / Probability-Distributions-for-PHP
PHP implementation of statistical probability distributions: normal distribution, beta distribution, gamma distribution and more.
Language:PHP 58hpaulkeeler / posts
Pieces of code that have appeared on my blog with a focus on stochastic simulations.
Language:Python 46monty-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:R 31jeinselen / 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:Python 21apaar97 / epl-ranktable-prediction
Prediction of Premier league standings using Poisson distribution
Language:Jupyter Notebook 17SciML / PoissonRandom.jl
Fast Poisson Random Numbers in pure Julia for scientific machine learning (SciML)
Language:Julia 15jxareas / Linear-Regression
Data Wrangling, Linear Models & other misc. Inferential Statistics.
Language:R 14ileanadatamania / Data-Science-Portfolio
Data Science Portfolio
Language:Jupyter Notebook 13lanl / 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:Python 13SrGrace / 10-Days-of-Statistics-Challenges
10 Days of Statistics Challenges at HackerRank
Language:C++ 11arasgungore / central-limit-theorem
A MATLAB project which applies the central limit theorem on PDFs and CDFs of different probability distributions.
bernoulli-distributioncentral-limit-theoremcumulative-distribution-functionexponential-distributionpoisson-distributionprobabilityprobability-density-functionprobability-distributionrandom-variablesuniform-distributionprobability-theoryprobability-theory-courserandom-distributionrandom-distributionsdistribution-functionrandom-variablenormal-distributionprobability-distributionsgaussian-distributionmatlabLanguage:MATLAB 9nhchristianson / PoissonHMM
A Python library for working with and training Hidden Markov Models with Poisson emissions.
Language:Python 9Victor-DS / FootballProbabilityModels
A collection of probability models applied to football
Language:Java 8Danfoa / 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 Notebook 7meet-aleksey / php-football-simulation
Calculating attack strength and defense of teams. Determining games results using Poisson Distribution.
Language:PHP 7aveedibya / operationSimulation
Simulation model to run scenarios on staffing/operations readiness for a call center
Language:Python 6leiruoshan / MFPointNet_feature_dataset
A machining feature dataset called MFDataset, containing 33 subcategories features.
mervess / images-to-spikes
Convert your image data to a Poisson spike source.
Language:Python 5MikeStrenk / 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 Notebook 5senzelden / supermarket_simulation
A Markov-chain based supermarket simulation.
Language:Jupyter Notebook 5kirtiJain25 / FDP_18
This repository contains FDP'18 presentations and R scripts.
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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:Python 3- DistributionPlotsLanguage:JavaScript 3
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 Notebook 2Grizzly-dart / grizzly_distuv
Statistics library for Dart
Language:Dart 2guillaume-gomez / poisson-disk
Generative image made of dots.
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sabato-nocera / distribuzione-di-poisson
📊📉 Studio della variabile aleatoria di Poisson
Language:R 2sanjushasuresh / GENERATION-OF-RANDOM-SAMPLES
Generation of random samples using R
Language:R 2Sid-149 / 10-Days-of-Statistics
This repository contains the solutions to HackerRank's 10 Days of Statistics.
Language:Python 2vincentpun123 / MSDS410-Data-Modeling-for-Supervised-Learning
MSDS 410 Data Modeling for Supervised Learning (R)
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