probability
There are 43 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-algorithmsartificial-neural-networksbayesian-statisticscomputer-visiondeep-learningdeep-neural-networksdeep-reinforcement-learningexplainable-aigeometric-deep-learninggraph-neural-networksmachine-learningmedical-imagingnatural-language-processingoptimizationpattern-recognitionprobabilistic-graphical-modelsprobabilityreinforcement-learningspeech-recognitionvisual-recognitionLanguage:HTML 12723ahmedbahaaeldin / 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
Language:Jupyter Notebook 4405Moataz-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
Language:PHP 2395mavam / stat-cookbook
:orange_book: The probability and statistics cookbook
Language:TeX 2289orico / 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
Language:Python 1639- all-of-statistics
telmo-correa / all-of-statistics
Self-study on Larry Wasserman's "All of Statistics"
Language:Jupyter Notebook 1181 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
Language:Mathematica 1019tirthajyoti / Stats-Maths-with-Python
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
Language:Jupyter Notebook 973dingran / quant-notes
Quantitative Interview Preparation Guide, updated version here ==>
Language:Jupyter Notebook 884CosmicMind / Algorithm
Algorithm is a library of tools that is used to create intelligent applications.
Language:Swift 831PyPatel / 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
Language:Jupyter Notebook 811shervinea / 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"
Language:Jupyter Notebook 787Ryota-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.
Language:Jupyter Notebook 742Ewenwan / 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
Language:MATLAB 731analyticalrohit / 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
Language:Jupyter Notebook 711kamenbliznashki / normalizing_flows
Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
Language:Python 634- Language:C++ 560
crflynn / stochastic
Generate realizations of stochastic processes in python.
Language:Python 489wiseaidev / rust-data-analysis
Rust for data analysis encyclopedia (WIP).
Language:Jupyter Notebook 438- zuko
probabilists / zuko
Normalizing flows in PyTorch
Language:Python 417 alexanderskulikov / discrete-math-python-scripts
Python code snippets from Discrete Mathematics for Computer Science specialization at Coursera
Language:Jupyter Notebook 414JuliaMath / MeasureTheory.jl
"Distributions" that might not add to one.
Language:Julia 398storopoli / Bayesian-Statistics
Bayesian statistics graduate course
Language:Typst 360thomasahle / tensorgrad
Machine Learning with Symbolic Tensors
Language:Python 348quantgirluk / aleatory
📦 Python library for Stochastic Processes Simulation and Visualisation
Language:Python 343SURGroup / UQpy
UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
Language:Python 333vc1492a / 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].
Language:Python 329- Language:Python 308
- 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
Language:HTML 294
