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The Top 604 Probability Open Source Projects on Github

Categories > Mathematics > Probability
Math Php ⭐ 1,993
Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with matrices and vectors, Numerical analysis; special mathematical functions; Algebra
Stat Cookbook ⭐ 1,959
📙 The probability and statistics cookbook
Www.mlcompendium.com ⭐ 1,662
The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expand my knowledge, it is now an open knowledge-sharing project compiled using Gitbook.
From 0 To Research Scientist Resources Guide ⭐ 1,582
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
Distribution Is All You Need ⭐ 850
The basic distribution probability Tutorial for Deep Learning Researchers
Algorithm ⭐ 763
Algorithm is a library of tools that is used to create intelligent applications.
Ml Foundations ⭐ 685
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Teaching ⭐ 586
Teaching Materials for Dr. Waleed A. Yousef
Stats Maths With Python ⭐ 492
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
Pytorch Flows ⭐ 444
PyTorch implementations of algorithms for density estimation
Python For Probability Statistics And Machine Learning ⭐ 423
Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
Mathematics ⭐ 386
数学知识点滴积累 矩阵 数值优化 神经网络反向传播 图优化 概率论 随机过程 卡尔曼滤波 粒子滤波 数学函数拟合
Stats ⭐ 328
A C++ header-only library of statistical distribution functions.
Measuretheory.jl ⭐ 274
"Distributions" that might not add to one.
Shendusuipian ⭐ 261
To know stats by heart
Stochastic ⭐ 235
Generate realizations of stochastic processes in python.
Pynomaly ⭐ 225
Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].
Normalizing_flows ⭐ 202
Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
Math Finance Cheat Sheet ⭐ 168
Mathematical finance cheat sheet.
All Of Statistics ⭐ 165
Self-study on Larry Wasserman's "All of Statistics"
Stanford Cme 106 Probability And Statistics ⭐ 165
VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers
Basic Mathematics For Machine Learning ⭐ 155
The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI
Flex ⭐ 125
Probabilistic deep learning for data streams.
Probabilidad ⭐ 118
Probabilidad y variables aleatorias para ML con R y Python con los Drs R.Alberich y A.Mir
Awesome Machine Learning Deep Learning Mathematics ⭐ 110
A curated list of mathematics documents ,Concepts, Study Materials , Algorithms and Codes available across the internet for machine learning and deep learning
Ptstat ⭐ 107
Probabilistic Programming and Statistical Inference in PyTorch
Gpnd ⭐ 106
Generative Probabilistic Novelty Detection with Adversarial Autoencoders
Appliedstats ⭐ 106
📊 Methods of Applied Statistics Course Textbook Repository
Quant Notes ⭐ 101
Quantitative Interview Preparation Guide, updated version here ==>
Ethzcheatsheets ⭐ 89
Poker Odds ⭐ 88
A lightweight command line tool for calculating poker hand probabilities
Uqpy ⭐ 81
UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
Quant Finance Resources ⭐ 81
Courses, Articles and many more which can help beginners or professionals.
Ultimate Notes Books Resources For Ncit ⭐ 80
Curated List of Notes, Books and other important resources for the student of Nepal College of Information and Technology(NCIT) - Pokhara University, Nepal
Pyprobables ⭐ 74
Probabilistic data structures in python http://pyprobables.readthedocs.io/en/latest/index.html
Pyimpetus ⭐ 70
PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features
Download ⭐ 65
UI mod for Dota 2 Auto Chess that adds several QoL improvements to the UI
All Of Statistics ⭐ 61
Solutions to Wasserman's 'All of Statistics'.
Deep Learningai ⭐ 61
🇦🇮 Deep Learning AI course on Coursera (Andrew Ng)
Introduction To Discrete Mathematics For Computer Science Specialization ⭐ 60
[Coursera] Introduction to Discrete Mathematics for Computer Science Specialization
Undergraduate In Statistics ⭐ 56
Using Computer with your Statistics Major Course
Ceramist ⭐ 51
Verified hash-based AMQ structures in Coq
Mchmm ⭐ 50
Markov Chains and Hidden Markov Models in Python
Xorf ⭐ 50
Xor filters - efficient probabilistic hashsets. Faster and smaller than bloom and cuckoo filters.
Dnest4 ⭐ 49
Diffusive Nested Sampling
Infotheo ⭐ 49
A Coq formalization of information theory and linear error-correcting codes
Datascience_interview_questions ⭐ 43
My Solutions to 120 commonly asked data science interview questions.
Awesome Math Learning ⭐ 43
📜 Collection of the most awesome Math learning resources in the form of notes, videos and cheatsheets.
Probability ⭐ 35
Probability-theory toolbox
Conjugate_prior ⭐ 33
Implementation of the conjugate prior table for Bayesian Statistics
Lm Scorer ⭐ 32
📃Language Model based sentences scoring library
Swiftstats ⭐ 31
Statistics for swift
Pydtmc ⭐ 30
A framework for discrete-time Markov chains analysis.
Data Science Prep ⭐ 28
Problems from https://datascienceprep.com/
Oddsratio ⭐ 28
Simplified odds ratio calculation of binomial GAM/GLM models
Neural Symbolic And Probabilistic Logic Papers ⭐ 27
A curated list of papers on neural symbolic and probabilistic logic.
Wink Statistics ⭐ 27
Fast & numerically stable statistical analysis
Tensorflow Autoencoders ⭐ 27
Implementations of autoencoder, generative adversarial networks, variational autoencoder and adversarial variational autoencoder
Mathifold ⭐ 27
Migrated to Tungsteno https://github.com/TungstenHub
Fattails ⭐ 27
Code and Notes for fat-tailed statistics.
Ml Compiled ⭐ 25
Quick definitions and intuitive explanations around machine learning.
Mathematics_for_machine_learning ⭐ 24
Learn mathematics behind machine learning and explore different mathematics in machine learning.
The_bayes_way ⭐ 23
📚 The Bayes Way 🎓
Gospn ⭐ 22
A free, open-source inference and learning library for Sum-Product Networks (SPN)
Extradistr ⭐ 22
Additional univariate and multivariate distributions
Intro To Probability Solutions ⭐ 21
Solutions to the exercises in Grinstead and Snell's Introduction to Probability
Markovipy ⭐ 21
Yet another markov chain sentence generator
Aeppl ⭐ 21
Tools for an Aesara-based PPL.
Football Simulator ⭐ 19
Probalistic methods used to simulate Football Leagues using FIFA 20 in-game stats.
Alea ⭐ 19
Coq library for reasoning on randomized algorithms [[email protected],@volodeyka]
Soccer Predictor ⭐ 17
A JS library that predicts soccer match outcomes using basic mathematics
Abby ⭐ 17
Minimal A/B Testing Library in PHP
Actuar ⭐ 16
Actuarial functions and heavy tailed distributions for R
Probability Bonus ⭐ 16
Probability bonus for daily rewards Unity
Data Science Notes ⭐ 16
Open-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)
Trucoanalytics ⭐ 16
[DESAFIO] ¿Cómo hacer que una computadora ( inteligencia artificial ) juegue mejor que un humano al truco? El Truco es un juego de cartas Argentino popularmente jugado en el todo el país y el cono sur. Es un juego de estrategia competitivo basado en turnos, de estados finitos e información incompleta, lo cúal quiere decir que los jugadores basaran sus estrategias en base a especulaciones en cuanto a las cartas de los demas. En los últimos tiempos, han existido numerosos articulos cientificos implementando modelos de aprendizaje reforzado en juegos de dichas caracteristicas. No obstante, aun no hay ningun trabajo que haya analizado este particular juego Argentino y su estadistica (probabilidad). El próposito de este proyecto es analizar este juego desde un aspecto computacional para poder, luego, modelar un agente de aprendizaje reforzado. Para dicho fin, primero vamos a hacer una revisión de los trabajos cientificos en juegos similares (como el poker), luego conceptualizar algunos terminos clave en función del comportamiento y estilo cognitivo de jugadores de truco y finalmente, proponemos a la comunidad el involucramiento en el desarrollo de un agente de aprendizaje reforzado para resolver este problema.
Fluent Random Picker ⭐ 16
Fluent Random Picker is a nice, performant, fluent way to pick random values. Probabilities can be specified, values can be weighted.
Probabilityboundsanalysis.jl ⭐ 15
Probability bounds analysis in Julia
Gostats ⭐ 14
Statistics for go
Data Science And Machine Learning Resources ⭐ 13
List of Data Science and Machine Learning Resource that I frequently use
Gtu University Assignments ⭐ 12
Assignments from Gebze Technical University Computer Science Depertmant
Histogram Filter For Robot Localization ⭐ 12
A python implementation of robot global localization in any 2 dimensional football field using histogram filter.
Java Probability Collection ⭐ 11
Generic and Highly Optimised Java Data-Structure for Retrieving Random Elements With Probability
Cent Patates ⭐ 11
Using TensorFlow to win 65 time more in the French lottery. A TensorFlow 2.0 tutorial with some nice combinatorics and a get-rich-quick click-bait title
Pypepa ⭐ 11
pypepa - Python toolset for PEPA
Probability_puzzle ⭐ 11
本仓库持续更新【概率计算】问题及解答。主要来源是一些书、我和周围朋友面试遇到的题以及网上的零散面经中觉得还不错的题。
Penney ⭐ 10
Penney's Game
Randomsys ⭐ 10
Algorithmic study of random systems. / Keywords: probability stochastic process ANU quantum random number generator Gaussian statistics
Prnguin ⭐ 10
🐧 deterministic pseudorandom number generation
Stat Book ⭐ 10
📙 CMC MSU Probability & Statistics Course Textbook, 2020.
Momentarithmetic.jl ⭐ 10
Rigorous moment propagation with partial information about moments and dependencies in Julia
Openrandonaut Bot ⭐ 9
Open source implementation of Randonautica functionality, with a Telegram bot.
5 Match Or 3 Match ⭐ 9
用于比较5局3胜和3局2胜的获胜概率
Probability_and_statistics ⭐ 9
Course materials for PROBABILITY AND STATISTICS A/B
In Depth Ml ⭐ 9
In depth machine learning resources
Spherical_kde ⭐ 9
Kernel density estimation on a sphere
Bsl ⭐ 9
📈 Machine Learning from the perspective of a Statistician using R
Coronavirus Probability Checker ⭐ 9
It is a Probability Checker for COVID-19 , people can input values and symptoms and accr. to the data , patient will get the probability of +ve COVID-19.
Doex ⭐ 8
Python library for Design and Analysis of Experiments
Statistics For Data Science ⭐ 8
Learning Statistics is one of the most Important step to get into the World of Data Science and Machine Learning. Statistics helps us to know data in a much better way and explains the behavior of the data based upon certain factors. It has many Elements which help us to understand the data better that includes Probability, Distributions, Descriptive Analysis, Inferential Analysis, Comparative Analysis, Chi-Square Test, T Test, Z test, AB Testing etc.
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