Alternatives and similar repositories for Probability-Theory-and-Examples-5th-edition

Users that are interested in Probability-Theory-and-Examples-5th-edition are comparing it to the libraries listed below

• tengyuma / cs229m_notes
  ☆235Updated 2 years ago
• Applied-Math-Seminar / Applied-Math-Seminar
  ☆45Updated last week
• leiwu0 / course.math_theory_nn
  Summer course on mathematical theory of deep learning
  ☆53Updated 6 years ago
• WeiHuang05 / Awesome-Feature-Learning-in-Deep-Learning-Thoery
  Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for sch…
  ☆196Updated 8 months ago
• yataobian / awesome-ebm
  Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)
  ☆342Updated 2 months ago
• xie-lab-ml / deep-learning-dynamics-paper-list
  This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success o…
  ☆289Updated last year
• xuzhiqin1990 / understanding_dl
  A lecture note for understanding deep learning
  ☆368Updated 3 weeks ago
• kellty / StatModel
  Statistical Modeling and Methods | PKU 2020 Spring
  ☆55Updated 3 years ago
• kellty / multiSTAT
  Applied Multivariate Statistical Analysis | PKU 2019 Fall
  ☆90Updated 3 years ago
• zdhNarsil / Awesome-GFlowNets
  A curated list of resources about generative flow networks (GFlowNets).
  ☆482Updated 11 months ago
• Zhenyu-LIAO / RMT4ML
  Matlab Notebook for visualizing random matrix theory results and their applications to machine learning
  ☆126Updated 2 years ago
• Weiyu-USTC / USTCmath-stat
  Notes and homework answers for Math, Prob and Stat courses at USTC
  ☆68Updated 5 years ago
• Dolores2333 / MATH5431
  All you need for MATH5431 Advanced Statistics I, 2020 Fall, HKUST, Lecturer JING Bingyi
  ☆33Updated 4 years ago
• PKUFlyingPig / Standford_CVX101
  Stanford convex optimization course
  ☆97Updated 4 years ago
• GFNOrg / torchgfn
  A modular, easy to extend GFlowNet library
  ☆289Updated this week
• leeyngdo / Numerical-Linear-Algebra
  Own solutions for exercises and MATLAB example codes for "Numerical Linear Algebra" by Lloyd N. Trefethen and David Bau III, 1997
  ☆88Updated last year
• wangyt95 / LinearRegression-Notes
  For sharing purposes
  ☆27Updated last year
• csquires / 6.S091-causality
  ☆189Updated 2 years ago
• MinghuiChen43 / awesome-deep-phenomena
  A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...
  ☆362Updated 2 months ago
• deepgenerativemodels / notes
  Course notes
  ☆715Updated last year
• kwignb / NeuralTangentKernel-Papers
  Neural Tangent Kernel Papers
  ☆116Updated 8 months ago
• jiaqingxie / Theories-of-Graph-Neural-Networks
  A List of Papers on Theoretical Foundations of Graph Neural Networks
  ☆36Updated 5 months ago
• JacobHelwig / covdepGE
  A covariate-dependent approach to Gaussian graphical modeling in R
  ☆23Updated last year
• WeiHuang05 / Awesome_Large_Foundation_Model_Theory
  Welcome to the 'In Context Learning Theory' Reading Group
  ☆30Updated 10 months ago
• DianJin-Frederick / Real-Analysis-Lecture-Notes
  Lecture notes of Real Analysis III in bilibili
  ☆25Updated 2 years ago
• AI4Science-WestlakeU / research_toolbox
  A useful toolbox for research.
  ☆13Updated last year
• j991222 / ai4math-papers
  AI for Mathematics (AI4Math) paper list
  ☆174Updated 11 months ago
• niuers / Linear-Algebra-and-Learning-from-Data
  Solutions to the problems in the book: Linear Algebra and Learning from Data by Gilbert Strang, MIT
  ☆294Updated 2 years ago
• weixr18 / MLAN
  A Note for Machine Learning Algorithms
  ☆92Updated 2 months ago
• cvxgrp / cvxbook_additional_exercises
  Additional exercises and data for EE364a. No solutions; for public consumption.
  ☆757Updated 3 months ago