There are 25 repositories under probability topic.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
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
:orange_book: The probability and statistics cookbook
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.
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
The basic distribution probability Tutorial for Deep Learning Researchers
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Algorithm is a library of tools that is used to create intelligent applications.
Teaching Materials for Dr. Waleed A. Yousef
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
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
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD theses, articles and open-source libraries.
Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
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
VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers
A C++ header-only library of statistical distribution functions.
Self-study on Larry Wasserman's "All of Statistics"
"Distributions" that might not add to one.
Quantitative Interview Preparation Guide, updated version here ==>
To know stats by heart
Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].
Generate realizations of stochastic processes in python.
📃Language Model based sentences scoring library
Mathematical finance cheat sheet.
My Solutions to 120 commonly asked data science interview questions.
A curated list of mathematics documents ,Concepts, Study Materials , Algorithms and Codes available across the internet for machine learning and deep learning
Courses, Articles and many more which can help beginners or professionals.
Probabilidad y variables aleatorias para ML con R y Python con los Drs R.Alberich y A.Mir
UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
:bar_chart: Methods of Applied Statistics Course Textbook Repository
Probabilistic deep learning for data streams.
Generative Probabilistic Novelty Detection with Adversarial Autoencoders
Curated list of notes, books and other resources for the student of Nepal College of Information and Technology(NCIT) - Pokhara University, Nepal
Verified hash-based AMQ structures in Coq