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
  ☆58Updated 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
• distillpub / post--example
  Example Distill article repository—clone, rename, start writing!
  ☆72Updated 2 years ago
• RobertTLange / code-and-blog
  Some small scale experiments for my blog posts 📝
  ☆79Updated 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
• probml / probml-notebooks
  Notebooks for "Probabilistic Machine Learning" book
  ☆202Updated 3 years ago
• kevinzakka / learn-linalg
  Learning some numerical linear algebra.
  ☆71Updated 4 years ago
• dobriban / Topics-in-deep-learning
  Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)
  ☆94Updated 2 years ago
• glouppe / info8004-advanced-machine-learning
  Lectures for INFO8004 Advanced Machine Learning, ULiège
  ☆114Updated 7 months ago
• hardmaru / mdn_jax_tutorial
  Mixture Density Networks (Bishop, 1994) tutorial in JAX
  ☆61Updated 5 years ago
• probml / probml-utils
  Utilities for probabilistic ML
  ☆36Updated 2 years ago
• vinsis / understanding-neuralnetworks-pytorch
  Understanding nuts and bolts of neural networks with PyTorch
  ☆33Updated 4 years ago
• leopd / geometric-intuition
  Understanding ML and deep learning through geometry
  ☆157Updated 3 years ago
• RobertTLange / reading-notes-ml
  Progress, Notes, Summaries and a lot of Questions on Machine Learning
  ☆55Updated 5 years ago
• cliburn / sta-663-2019
  Course notes for Computational Statistics and Statistical Compuing
  ☆63Updated 6 years ago
• evcu / numpy_autograd
  a simple implementation of autograd engine
  ☆24Updated 7 years ago
• mcleonard / xaby
  Functional machine learning for fun
  ☆85Updated 4 years ago
• snowdj / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆90Updated 6 years ago
• yousuketakada / prml_errata
  More PRML Errata
  ☆81Updated 3 years ago
• jgvfwstone / ArtificialIntelligenceEngines
  Computer code collated for use with Artificial Intelligence Engines book by JV Stone
  ☆65Updated 11 months ago
• shiernee / Advanced_ML
  ☆89Updated 2 years ago
• bgavran / autodiff
  Rudimentary automatic differentiation framework
  ☆75Updated 6 years ago
• sshkhr / Practical_RL
  My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow
  ☆54Updated 3 years ago
• Feryal / rl_mlss_2020
  ☆53Updated 5 years ago
• data-psl / lectures2020
  ☆48Updated 2 years ago
• mlss-2019 / tutorials
  ☆276Updated 5 years ago
• lilianweng / LeetcodePython
  Leetcode Practice in Python
  ☆145Updated 11 years ago
• mathematical-tours / mathematical-tours.github.io
  Site web of the Mathematical Tours
  ☆506Updated 11 months ago
• gwgundersen / ml
  A didactic Python library with well-commented and annotated implementations of machine learning algorithms.
  ☆54Updated 5 years ago
• jasongrout / multivariable-calculus
  A free open-source textbook for Multivariable Calculus that emphasizes differentials and linear algebra
  ☆39Updated 14 years ago