Alternatives and similar repositories for ProbToPdf

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

• buruzaemon / IntroductionToProbabilityPy
  Jupyter notebooks with the Python equivalent to the R code sections in Blitzstein and Hwang's Introduction To Probability, Second Edition
  ☆75Updated 6 years ago
• alexsosn / MarslandMLAlgo
  Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.
  ☆149Updated 4 years ago
• physhik / Study-of-David-Mackay-s-book-
  David Mackay's book review and problem solvings and own python codes, mathematica files
  ☆58Updated 8 years ago
• stappit / all-of-statistics
  Solutions to Wasserman's 'All of Statistics'.
  ☆104Updated 6 years ago
• fifthist / Introduction-To-Probability-Blitzstein-Solutions
  Unofficial solutions for Introduction to Probability, Second Edition by Joseph Blitzstein and Jessica Hwang.
  ☆128Updated last month
• dotnet / mbmlbook
  Sample code for the Model-Based Machine Learning book.
  ☆299Updated 4 years ago
• probml / probml-utils
  Utilities for probabilistic ML
  ☆36Updated 2 years ago
• cliburn / sta-663-2019
  Course notes for Computational Statistics and Statistical Compuing
  ☆63Updated 6 years ago
• leopd / geometric-intuition
  Understanding ML and deep learning through geometry
  ☆156Updated 4 years ago
• mathematical-tours / mathematical-tours.github.io
  Site web of the Mathematical Tours
  ☆508Updated last year
• snowdj / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆92Updated 7 years ago
• yousuketakada / prml_errata
  More PRML Errata
  ☆81Updated 3 years ago
• probml / probml-notebooks
  Notebooks for "Probabilistic Machine Learning" book
  ☆201Updated 3 years ago
• rmgarnett / cse515t
  Materials for Bayesian Methods in Machine Learning Course
  ☆92Updated 2 months ago
• iurteaga / bandits
  Public repository for the work on bandit problems
  ☆24Updated last year
• ssanderson / foundations-of-numerical-computing
  Lecture Slides, Exercises, and Deployment Materials for "Foundations of Numerical Computing"
  ☆82Updated 3 years ago
• glouppe / info8004-advanced-machine-learning
  Lectures for INFO8004 Advanced Machine Learning, ULiège
  ☆116Updated 10 months ago
• dobriban / Topics-in-deep-learning
  Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)
  ☆96Updated 3 years ago
• Foundations-of-Applied-Mathematics / Labs
  Labs for the Foundations of Applied Mathematics curriculum.
  ☆235Updated last year
• lilianweng / LeetcodePython
  Leetcode Practice in Python
  ☆145Updated 11 years ago
• djour / PyBRML
  Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning
  ☆165Updated 10 years ago
• inf16nyu / home
  ☆78Updated 9 years ago
• cliburn / sta-663-2020
  ☆45Updated 5 years ago
• colah / Visualizing-Deep-Learning
  A series of blog posts on visualizing deep learning.
  ☆163Updated 8 years ago
• ajtulloch / CambridgeMathematicsPartIII
  ☆71Updated 11 years ago
• fehiepsi / rethinking-pyro
  Statistical Rethinking with PyTorch and Pyro
  ☆166Updated 9 months ago
• distillpub / post--example
  Example Distill article repository—clone, rename, start writing!
  ☆73Updated 3 years ago
• suriyadeepan / BayesianML
  Experiments in Bayesian Machine Learning
  ☆69Updated 6 years ago
• Wrosinski / MachineLearning_ResourcesCompilation
  Compilation of resources found around the web connected with Machine Learning, Deep Learning & Data Science in general.
  ☆95Updated 8 years ago
• evcu / numpy_autograd
  a simple implementation of autograd engine
  ☆24Updated 7 years ago