probability
There are 2318 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!!
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.
jonkrohn/ML-foundations
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Moataz-Elmesmary/Data-Science-Roadmap
Data Science Roadmap from A to Z
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
mavam/stat-cookbook
:orange_book: The probability and statistics cookbook
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.
graykode/distribution-is-all-you-need
The basic distribution probability Tutorial for Deep Learning Researchers
telmo-correa/all-of-statistics
Self-study on Larry Wasserman's "All of Statistics"
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.
DrWaleedAYousef/Teaching
Teaching Materials for Dr. Waleed A. Yousef
tirthajyoti/Stats-Maths-with-Python
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
dingran/quant-notes
Quantitative Interview Preparation Guide, updated version here ==>
CosmicMind/Algorithm
Algorithm is a library of tools that is used to create intelligent applications.
PyPatel/Quant-Finance-Resources
Courses, Articles and many more which can help beginners or professionals.
greyhatguy007/Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera
Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
shervinea/stanford-cme-106-probability-and-statistics
VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers
unpingco/Python-for-Probability-Statistics-and-Machine-Learning
Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
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.
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
analyticalrohit/AI-ML-Cheatsheets
All Stanford Cheatsheets: Artificial Intelligence, Transformers, LLMs, Deep Learning, Machine Learning, Probabilities, Statistics, Algebra and Calculus.
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
kamenbliznashki/normalizing_flows
Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
kthohr/stats
A C++ header-only library of statistical distribution functions.
crflynn/stochastic
Generate realizations of stochastic processes in python.
wiseaidev/rust-data-analysis
Rust for data analysis encyclopedia (WIP).
probabilists/zuko
Normalizing flows in PyTorch
alexanderskulikov/discrete-math-python-scripts
Python code snippets from Discrete Mathematics for Computer Science specialization at Coursera
JuliaMath/MeasureTheory.jl
"Distributions" that might not add to one.
storopoli/Bayesian-Statistics
Bayesian statistics graduate course
thomasahle/tensorgrad
Machine Learning with Symbolic Tensors
quantgirluk/aleatory
📦 Python library for Stochastic Processes Simulation and Visualisation
SURGroup/UQpy
UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
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].
simonepri/lm-scorer
📃Language Model based sentences scoring library
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