probability

There are 42 repositories under probability topic.

kmario23 / deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
artificial-intelligence-algorithms artificial-neural-networks bayesian-statistics computer-vision deep-learning deep-neural-networks deep-reinforcement-learning explainable-ai geometric-deep-learning graph-neural-networks machine-learning medical-imaging natural-language-processing optimization pattern-recognition probabilistic-graphical-models probability reinforcement-learning speech-recognition visual-recognition
Language:HTML 12678
ahmedbahaaeldin / From-0-to-Research-Scientist-resources-guide
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
books calculus deep-learning lectures linear-algebra machine-learning probability
7569
jonkrohn / ML-foundations
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
machine-learning data-science python mathematics linear-algebra calculus probability statistics computer-science data-structures numpy pytorch tensorflow jupyter-notebook
Language:Jupyter Notebook 4281
Moataz-Elmesmary / Data-Science-Roadmap
Data Science Roadmap from A to Z
data-analysis data-engineering data-science data-visualization deep-learning machine-learning mathematics probability python sql statistics cheatsheet cv-template interview-questions linear-algebra neural-network big-data chatgpt llms nlp
3938
markrogoyski / math-php
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
math mathematics linear-algebra statistics matrix probability distributions regression numerical-analysis information-theory number-theory vector finance combinatorics algebra php php-library
Language:PHP 2385
mavam / stat-cookbook
:orange_book: The probability and statistics cookbook
probability statistics cheatsheet cookbook
Language:TeX 2282
orico / www.mlcompendium.com
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.
machine-learning deep-learning algorithms product-management ux-design ux-research ux-experience marketing full-stack statistics probability gitbook data-science mlcompendium
2158
graykode / distribution-is-all-you-need
The basic distribution probability Tutorial for Deep Learning Researchers
deep-learning mathmatics probability gaussian distribution
Language:Python 1640
all-of-statistics
telmo-correa / all-of-statistics
Self-study on Larry Wasserman's "All of Statistics"
statistics solutions self-study probability
Language:Jupyter Notebook 1145
DrWaleedAYousef / Teaching
Teaching Materials for Dr. Waleed A. Yousef
computer-science mathematics data-science data-structures data-visualization digital-design logic-design image-processing linear-algebra optimization pattern-recognition machine-learning statistics statistical-learning statistical-models analysis-of-algorithms programming discrete-mathematics probability
Language:Mathematica 1016
tirthajyoti / Stats-Maths-with-Python
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
statistics python numpy pandas numerical-analysis analytics machine-learning bayesian-statistics inferential-statistics statsmodels probability mathematics mathematical-programming matplotlib scipy data-science normal-distribution hypothesis-testing anova clustering
Language:Jupyter Notebook 962
valeman / awesome-conformal-prediction
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
conformal-prediction python r machinelearning datascience deeplearning awesome awesome-list probability uncertainty-quantification uncertainty uncertainty-estimation probability-distribution probability-distributions machine-learning ai explainable-ai statistics robust-ml
942
dingran / quant-notes
Quantitative Interview Preparation Guide, updated version here ==>
quantitative-finance interview-questions calculus linear-algebra probability statistics coding-interviews numerical-methods optimization finance quant quantitative-trading machine-learning interview-preparation data-science deep-learning python
Language:Jupyter Notebook 859
CosmicMind / Algorithm
Algorithm is a library of tools that is used to create intelligent applications.
algorithm algorithms data-structures data-structure data-structures-algorithms probability probabilistic-programming set multiset dictionary multidictionary conditional-probability redblacktree redblacktrees swift swift-3 cosmicmind sorted-sets doublylinkedlist stack
Language:Swift 830
unpingco / Python-for-Probability-Statistics-and-Machine-Learning
Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
jupyter-notebook python machine-learning book books probability probability-theory statistics statistics-course statistical-analysis statistical-learning statistical-tests
Language:Jupyter Notebook 789
PyPatel / Quant-Finance-Resources
Courses, Articles and many more which can help beginners or professionals.
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
783
shervinea / stanford-cme-106-probability-and-statistics
VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers
probability statistics cheatsheet hypothesis-testing distribution regression-testing
781
greyhatguy007 / Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera
Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
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
Language:Jupyter Notebook 764
Ewenwan / Mathematics
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
matrix numerical-optimization probability backpropagation graph-theory kalman-filter particle-filter
Language:MATLAB 727
hrnbot / Basic-Mathematics-for-Machine-Learning
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
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
Language:Jupyter Notebook 700
analyticalrohit / AI-ML-Cheatsheets
All Stanford Cheatsheets: Artificial Intelligence, Transformers, LLMs, Deep Learning, Machine Learning, Probabilities, Statistics, Algebra and Calculus.
artificial-intelligence cheetsheet convolutional-neural-networks data-science deep-learning llms machine-learning neural-networks probability statistics transformers
682
Ryota-Kawamura / Mathematics-for-Machine-Learning-and-Data-Science-Specialization
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.
gradient-descent bayesian-statistics calculus determinants eigenvalues-and-eigenvectors linear-algebra linear-equation linear-regression machine-learning mathematical-optimization mathematics probability
Language:Jupyter Notebook 672
kamenbliznashki / normalizing_flows
Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
density-estmation probability deep-learning normalizing-flows
Language:Python 630
kthohr / stats
A C++ header-only library of statistical distribution functions.
stats cpp constexpr numerical-methods probability distributions statistics armadillo cpp11 armadillo-library openmp density-functions quantile quantile-functions cdf blaze eigen eigen3
Language:C++ 554
crflynn / stochastic
Generate realizations of stochastic processes in python.
stochastic-processes stochastic stochastic-differential-equations probability stochastic-volatility-models stochastic-simulation-algorithm
Language:Python 485
wiseaidev / rust-data-analysis
Rust for data analysis encyclopedia (WIP).
data-analysis data-science eda rust evcxr jupyter jupyter-notebook ndarray plotters plotters-rs polars notebook probability probability-distribution probability-theory statrs calculas hacktoberfest
Language:Jupyter Notebook 430
zuko
probabilists / zuko
Normalizing flows in PyTorch
density-estimation generative-model normalizing-flows probability torch deep-learning
Language:Python 404
alexanderskulikov / discrete-math-python-scripts
Python code snippets from Discrete Mathematics for Computer Science specialization at Coursera
python mathematics discrete-mathematics combinatorics recursion induction algorithms bayes logic probability python3 dynamic-programming combinatorics-and-probability cryptography number-theory enumeration graph-algorithms graphs
Language:Jupyter Notebook 402
JuliaMath / MeasureTheory.jl
"Distributions" that might not add to one.
julia probabilistic-programming bayesian-inference probability statistics machine-learning
Language:Julia 397
storopoli / Bayesian-Statistics
Bayesian statistics graduate course
bayesian bayesian-statistics course julia probabilistic-programming probability stan turing
Language:Typst 361
quantgirluk / aleatory
📦 Python library for Stochastic Processes Simulation and Visualisation
data-visualization data-viz monte-carlo probability statistics stochastic-processes diffusion-models financial-mathematics stochastic-differential-equations
Language:Python 338
thomasahle / tensorgrad
Machine Learning with Symbolic Tensors
autograd derivatives neurosymbolic probability symbolic-computation tensor
Language:Python 335
vc1492a / PyNomaly
Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].
outlier-detection anomaly-detection machine-learning outlier-scores probability outliers anomalies nearest-neighbors
Language:Python 328
SURGroup / UQpy
UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
uncertainty-quantification uncertainty-propagation uncertainty-sampling probability probabilistic stochastic stochastic-process monte-carlo monte-carlo-simulation latin-hypercube latin-hypercube-sampling
Language:Python 323
simonepri / lm-scorer
📃Language Model based sentences scoring library
sentence probability lm language-model ml
Language:Python 309
Ultimate-Notes-Books-Resources-for-NCIT
theonlyNischal / Ultimate-Notes-Books-Resources-for-NCIT
Curated list of notes, books and other resources for the student of Nepal College of Information and Technology(NCIT) - Pokhara University, Nepal
c oop java malp web-techonology problem-solving-techniques logic-circuits data-structures-algorithms 8085 assembly-language-programming probability c-programming object-oriented-programming software-engineering-fundamentals ncit system-programming hacktoberfest
Language:HTML 293

probability

kmario23 / deep-learning-drizzle

ahmedbahaaeldin / From-0-to-Research-Scientist-resources-guide

jonkrohn / ML-foundations

Moataz-Elmesmary / Data-Science-Roadmap

markrogoyski / math-php

mavam / stat-cookbook

orico / www.mlcompendium.com

graykode / distribution-is-all-you-need

telmo-correa / all-of-statistics

DrWaleedAYousef / Teaching

tirthajyoti / Stats-Maths-with-Python

valeman / awesome-conformal-prediction

dingran / quant-notes

CosmicMind / Algorithm

unpingco / Python-for-Probability-Statistics-and-Machine-Learning

PyPatel / Quant-Finance-Resources

shervinea / stanford-cme-106-probability-and-statistics

greyhatguy007 / Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera

Ewenwan / Mathematics

hrnbot / Basic-Mathematics-for-Machine-Learning

analyticalrohit / AI-ML-Cheatsheets

Ryota-Kawamura / Mathematics-for-Machine-Learning-and-Data-Science-Specialization

kamenbliznashki / normalizing_flows

kthohr / stats

crflynn / stochastic

wiseaidev / rust-data-analysis

probabilists / zuko

alexanderskulikov / discrete-math-python-scripts

JuliaMath / MeasureTheory.jl

storopoli / Bayesian-Statistics

quantgirluk / aleatory

thomasahle / tensorgrad

vc1492a / PyNomaly

SURGroup / UQpy

simonepri / lm-scorer

theonlyNischal / Ultimate-Notes-Books-Resources-for-NCIT