Topic: probability Goto Github

👇 Here are 2177 public repositories matching this topic...

ahmedbahaaeldin / from-0-to-research-scientist-resources-guide
probability,Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
User: ahmedbahaaeldin
machine-learning deep-learning linear-algebra probability calculus books lectures

alexanderskulikov / discrete-math-python-scripts
probability,Python code snippets from Discrete Mathematics for Computer Science specialization at Coursera
User: alexanderskulikov
python mathematics discrete-mathematics combinatorics recursion induction algorithms bayes logic probability

atif-hassan / pyimpetus
probability,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
User: atif-hassan
feature-selection machine-learning-algorithms probability statistics t-test markov-blanket minimal-features

ayazhafiz / xorf
probability,Xor filters - efficient probabilistic hashsets. Faster and smaller than bloom and cuckoo filters.
User: ayazhafiz
xor-filter rust data-structures probability bloom-filter hashset

cosmicmind / algorithm
probability,Algorithm is a library of tools that is used to create intelligent applications.
Organization: cosmicmind
Home Page: http://cosmicmind.com
algorithm algorithms data-structures data-structure data-structures-algorithms probability probabilistic-programming set multiset dictionary

crflynn / stochastic
probability,Generate realizations of stochastic processes in python.
User: crflynn
Home Page: http://stochastic.readthedocs.io/en/stable/
stochastic-processes stochastic stochastic-differential-equations probability stochastic-volatility-models stochastic-simulation-algorithm

daleroberts / math-finance-cheat-sheet
probability,Mathematical finance cheat sheet.
User: daleroberts
mathematics probability finance

daviddalpiaz / appliedstats
probability,:bar_chart: Methods of Applied Statistics Course Textbook Repository
User: daviddalpiaz
Home Page: https://book.stat420.org/
probability statistics r textbook applied-statistics linear-models bookdown book

dingran / quant-notes
probability,Quantitative Interview Preparation Guide, updated version here ==>
User: dingran
Home Page: https://www.dingran.me/quantitative-interview-preparation-guide/
quantitative-finance interview-questions calculus linear-algebra probability statistics coding-interviews numerical-methods optimization finance

drwaleedayousef / teaching
probability,Teaching Materials for Dr. Waleed A. Yousef
User: drwaleedayousef
Home Page: http://www.wy.helwan.edu.eg
computer-science mathematics data-science data-structures data-visualization digital-design logic-design image-processing linear-algebra optimization

embracelife / shendusuipian
probability,To know stats by heart
User: embracelife
setup deeplearning python statistics probability financial-markets

ewenwan / mathematics
probability,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
User: ewenwan
matrix numerical-optimization probability backpropagation graph-theory kalman-filter particle-filter

graykode / distribution-is-all-you-need
probability,The basic distribution probability Tutorial for Deep Learning Researchers
User: graykode
deep-learning distribution gaussian mathmatics probability

greyhatguy007 / mathematics-for-machine-learning-and-data-science-specialization-coursera
probability,Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
User: greyhatguy007
Home Page: https://www.coursera.org/specializations/mathematics-for-machine-learning-and-data-science
coursera-data-science coursera-machine-learning coursera-mathematics coursera-specialization deeplearning-ai probability python statistics coursera-assignment machine-learning math4ml calculus coursera deep-learning gradient linear-algebra matrices

hrnbot / basic-mathematics-for-machine-learning
probability,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
User: hrnbot
mathematics mathematical-functions mathematical-analysis algebra linear-algebra calculus statistics probability siraj-raval machine-learning maths machinelearning-python python notebook ai siraj pytorch prerequisites beginner

joanby / probabilidad
probability,Probabilidad y variables aleatorias para ML con R y Python con los Drs R.Alberich y A.Mir
User: joanby
Home Page: https://cursos.frogamesformacion.com/courses/probabilidad
probabilidad probability estadistica statistics

jonkrohn / ml-foundations
probability,Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
User: jonkrohn
machine-learning data-science python mathematics linear-algebra calculus probability statistics computer-science data-structures

juliamath / measuretheory.jl
probability,"Distributions" that might not add to one.
Organization: juliamath
julia probabilistic-programming bayesian-inference probability statistics machine-learning

kamenbliznashki / normalizing_flows
probability,Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
User: kamenbliznashki
deep-learning density-estmation normalizing-flows probability

kmario23 / deep-learning-drizzle
probability,Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
User: kmario23
Home Page: https://deep-learning-drizzle.github.io
machine-learning deep-learning deep-neural-networks pattern-recognition computer-vision optimization visual-recognition reinforcement-learning deep-reinforcement-learning natural-language-processing

krishnakumarsekar / awesome-machine-learning-deep-learning-mathematics
probability,A curated list of mathematics documents ,Concepts, Study Materials , Algorithms and Codes available across the internet for machine learning and deep learning
User: krishnakumarsekar
deep-learning machine-learning algorithm mathematics linear-algebra static-analysis probability gradient-descent machine-learning-mathematics deep-learning-mathematics

kthohr / stats
probability,A C++ header-only library of statistical distribution functions.
User: kthohr
Home Page: https://statslib.readthedocs.io/en/latest/
stats cpp constexpr numerical-methods probability distributions statistics armadillo cpp11 armadillo-library

markrogoyski / math-php
probability,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
User: markrogoyski
math mathematics linear-algebra statistics matrix probability distributions regression numerical-analysis information-theory

mavam / stat-cookbook
probability,:orange_book: The probability and statistics cookbook
User: mavam
Home Page: statistics.zone
cheatsheet cookbook probability statistics

milaan9 / datascience_interview_questions
probability,My Solutions to 120 commonly asked data science interview questions.
User: milaan9
data-science machine-learning predective-modeling probability statistical-inference data-analysis product-metrics interview-questions interview-preparation tutor-milaan9

moataz-elmesmary / data-science-roadmap
probability,Data Science Roadmap from A to Z
User: moataz-elmesmary
Home Page: https://www.linkedin.com/posts/moatazelmesmary_github-moataz-elmesmarydata-science-roadmap-activity-6974293994960769024-yCdi?utm_source=share&utm_medium=member_desktop
data-analysis data-engineering data-science data-visualization deep-learning machine-learning mathematics probability python sql

orico / www.mlcompendium.com
probability,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.
User: orico
Home Page: https://book.mlcompendium.com
machine-learning deep-learning algorithms product-management ux-design ux-research ux-experience marketing full-stack statistics

pegah-ardehkhani / statistics-and-probability-in-python
probability,A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python
User: pegah-ardehkhani
hypothesis-testing probability probability-theory python random-variables statiscal-learning statistics statistical-hypothesis-testing parametric-hypothesis-tests confidence-intervals

podgorskiy / gpnd
probability,Generative Probabilistic Novelty Detection with Adversarial Autoencoders
User: podgorskiy
deep-learning deep-neural-networks deep-novelty-detection novelty-detection anomaly-detection adversarial-learning autoencoder pytorch generative-adversarial-network gan

probabilists / zuko
probability,Normalizing flows in PyTorch
Organization: probabilists
Home Page: https://zuko.readthedocs.io
density-estimation generative-model normalizing-flows probability torch deep-learning

pypatel / quant-finance-resources
probability,Courses, Articles and many more which can help beginners or professionals.
User: pypatel
quant quantitative-finance algorithms algorithmic-trading ai artificial-intelligence artificial-intelligence-algorithms artificial-neural-networks machine-learning probability option-pricing stock-price-prediction linear-algebra

quantgirluk / aleatory
probability,📦 Python library for Stochastic Processes Simulation and Visualisation
User: quantgirluk
data-visualization data-viz monte-carlo probability statistics stochastic-processes diffusion-models financial-mathematics stochastic-differential-equations

quantified-uncertainty / squiggle
probability,This monorepo covers multiple QURI projects, including Squiggle language, Squiggle Hub and Metaforecast
Organization: quantified-uncertainty
Home Page: https://squiggle-language.com
probability forecasting

quantumfluxx / karpov_courses
probability,🐳 Проектная деятельность. Здесь хранятся лекции, практические задания и проекты с karpov_courses. Ссылка: https://karpov.courses/
User: quantumfluxx
git matplotlib numpy pandas probability python sql statistics data-analysis data-science

ryota-kawamura / mathematics-for-machine-learning-and-data-science-specialization
probability,Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.
User: ryota-kawamura
Home Page: https://www.deeplearning.ai/courses/mathematics-for-machine-learning-and-data-science-specialization/
gradient-descent bayesian-statistics calculus determinants eigenvalues-and-eigenvectors linear-algebra linear-equation linear-regression machine-learning mathematical-optimization

sharmaroshan / statistics-for-data-science
probability,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.
User: sharmaroshan
statistics probability normal-distribution binomial-distribution ab-testing python3 data-science descriptive-statistics inferential-statistics comparative-statistics

shervinea / stanford-cme-106-probability-and-statistics
probability,VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers
User: shervinea
Home Page: https://stanford.edu/~shervine/teaching/cme-106
probability statistics cheatsheet hypothesis-testing distribution regression-testing

simonepri / lm-scorer
probability,📃Language Model based sentences scoring library
User: simonepri
sentence probability lm language-model ml

sinclam2 / fifty-challenging-problems-in-probability
probability,My solutions to the problems in Fifty Challenging Problems in Probability by Frederick Mosteller
User: sinclam2
probability problems brain-teasers solutions

spamegg1 / math-for-cs-solutions
probability,Solutions to In-Class questions, Problem Sets and Exams of MIT Mathematics for Computer Science 2015 (same as 2019 Open Learning Library)
User: spamegg1
calculus counting functions graph graph-theory induction math probability proofs set-theory

storopoli / bayesian-statistics
probability,Bayesian statistics graduate course
User: storopoli
bayesian bayesian-statistics course julia probabilistic-programming probability stan turing

surgroup / uqpy
probability,UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
Organization: surgroup
uncertainty-quantification uncertainty-propagation uncertainty-sampling probability probabilistic stochastic stochastic-process monte-carlo monte-carlo-simulation latin-hypercube latin-hypercube-sampling

telmo-correa / all-of-statistics
probability,Self-study on Larry Wasserman's "All of Statistics"
User: telmo-correa
statistics solutions self-study probability

theonlynischal / ultimate-notes-books-resources-for-ncit
probability,Curated list of notes, books and other resources for the student of Nepal College of Information and Technology(NCIT) - Pokhara University, Nepal
User: theonlynischal
8085 assembly-language-programming c c-programming data-structures-algorithms hacktoberfest java logic-circuits malp ncit object-oriented-programming oop probability problem-solving-techniques software-engineering-fundamentals system-programming web-techonology

thomasahle / tensorgrad
probability,Machine Learning with Symbolic Tensors
User: thomasahle
Home Page: http://tensorcookbook.com
autograd derivatives neurosymbolic probability symbolic-computation tensor

tirthajyoti / stats-maths-with-python
probability,General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
User: tirthajyoti
statistics python numpy pandas numerical-analysis analytics machine-learning bayesian-statistics inferential-statistics statsmodels

unpingco / python-for-probability-statistics-and-machine-learning
probability,Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
User: unpingco
jupyter-notebook python machine-learning book books probability probability-theory statistics statistics-course statistical-analysis

valeman / awesome-conformal-prediction
probability,A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
User: valeman
conformal-prediction python r machinelearning datascience deeplearning awesome awesome-list probability uncertainty-quantification

vc1492a / pynomaly
probability,Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].
User: vc1492a
outlier-detection anomaly-detection machine-learning outlier-scores probability outliers anomalies nearest-neighbors

wiseaidev / rust-data-analysis
probability,Rust for data analysis encyclopedia (WIP).
User: wiseaidev
data-analysis data-science eda rust evcxr jupyter jupyter-notebook ndarray plotters plotters-rs