Alternatives and similar repositories for ProbToPdf

Users that are interested in ProbToPdf are comparing it to the libraries listed below

• physhik / Study-of-David-Mackay-s-book-
  David Mackay's book review and problem solvings and own python codes, mathematica files
  ☆57Updated 8 years ago
• buruzaemon / IntroductionToProbabilityPy
  Jupyter notebooks with the Python equivalent to the R code sections in Blitzstein and Hwang's Introduction To Probability, Second Edition
  ☆74Updated 6 years ago
• stappit / all-of-statistics
  Solutions to Wasserman's 'All of Statistics'.
  ☆104Updated 6 years ago
• probml / probml-notebooks
  Notebooks for "Probabilistic Machine Learning" book
  ☆202Updated 3 years ago
• alexsosn / MarslandMLAlgo
  Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.
  ☆148Updated 4 years ago
• yousuketakada / prml_errata
  More PRML Errata
  ☆80Updated 2 years ago
• Zhenye-Na / machine-learning-uiuc
  🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign
  ☆283Updated 6 years ago
• ssanderson / foundations-of-numerical-computing
  Lecture Slides, Exercises, and Deployment Materials for "Foundations of Numerical Computing"
  ☆81Updated 2 years ago
• mtrazzi / rl-book-challenge
  self-studying the Sutton & Barto the hard way
  ☆199Updated 3 years ago
• florist-notes / CS228_PGM
  🌲 Stanford CS 228 - Probabilistic Graphical Models
  ☆137Updated last year
• joanbruna / MathsDL-spring19
  Mathematics of Deep Learning, Courant Insititute, Spring 19
  ☆278Updated 6 years ago
• ajcr / em-explanation
  Notebooks explaining the intuition behind the Expectation Maximisation algorithm
  ☆40Updated 6 years ago
• fifthist / Introduction-To-Probability-Blitzstein-Solutions
  Unofficial solutions for Introduction to Probability, Second Edition by Joseph Blitzstein and Jessica Hwang.
  ☆117Updated this week
• vbartle / VMLS-Companions
  These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.
  ☆340Updated 5 years ago
• snowdj / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆88Updated 6 years ago
• rldotai / rl-algorithms
  Reinforcement learning algorithms
  ☆41Updated 6 years ago
• ks838 / Murphy-Machine-Learning-A-Probabilistic-Perspective-Errata-and-Notes-4th-printing
  Murphy's Machine Learning: A Probabilistic Perspective Errata (4th and later printings)
  ☆68Updated 5 years ago
• jganzabal / tic-tac-toe-python-notebook-game
  Minimax algorithm for a Tic Tac Toe for Python Jupyter Notebook
  ☆22Updated 8 years ago
• discreteoptimization / assignment
  Assignments and Graders for Discrete Optimization on Coursera
  ☆95Updated 2 years ago
• cjratcliff / ml-compiled
  Quick definitions and intuitive explanations around machine learning.
  ☆35Updated 3 weeks ago
• jgvfwstone / ArtificialIntelligenceEngines
  Computer code collated for use with Artificial Intelligence Engines book by JV Stone
  ☆65Updated 9 months ago
• hse-aml / bayesian-methods-for-ml
  Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
  ☆135Updated 5 years ago
• dobriban / Topics-in-deep-learning
  Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)
  ☆95Updated 2 years ago
• shark8me / Building_Probabilistic_Graphical_Models_in_Python
  Source code for the book "Building Probabilistic Graphical Models in Python"
  ☆30Updated 8 years ago
• probml / probml-utils
  Utilities for probabilistic ML
  ☆36Updated 2 years ago
• Wrosinski / MachineLearning_ResourcesCompilation
  Compilation of resources found around the web connected with Machine Learning, Deep Learning & Data Science in general.
  ☆93Updated 7 years ago
• cliburn / sta-663-2019
  Course notes for Computational Statistics and Statistical Compuing
  ☆63Updated 6 years ago
• kevinzakka / learn-linalg
  Learning some numerical linear algebra.
  ☆70Updated 4 years ago
• cliburn / sta-663-2020
  ☆45Updated 5 years ago
• antonvladyka / neuralnetworksanddeeplearning.com.pdf
  LaTeX/PDF + Epub version of the online book (http://neuralnetworksanddeeplearning.com) ”Neural Networks and Deep Learning“ by Michael Nie…
  ☆282Updated 3 years ago