Alternatives and similar repositories for Machine-Learning-A-Probabilistic-Perspective-Solutions

Users that are interested in Machine-Learning-A-Probabilistic-Perspective-Solutions are comparing it to the libraries listed below

• joanbruna / MathsDL-spring18
  Topics course Mathematics of Deep Learning, NYU, Spring 18
  ☆549Updated 2 years ago
• bayesgroup / deepbayes-2019
  Practical assignments of the Deep|Bayes summer school 2019
  ☆834Updated 5 years ago
• zhengqigao / PRML-Solution-Manual
  My Own Solution Manual of PRML
  ☆999Updated 4 years ago
• Zhenye-Na / machine-learning-uiuc
  🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign
  ☆284Updated 6 years ago
• davidrosenberg / mlcourse
  Machine learning course materials.
  ☆577Updated 2 years ago
• mlss-2019 / slides
  ☆260Updated 6 years ago
• ermongroup / cs228-notes
  Course notes for CS228: Probabilistic Graphical Models.
  ☆1,983Updated 5 months ago
• joanbruna / MathsDL-spring19
  Mathematics of Deep Learning, Courant Insititute, Spring 19
  ☆278Updated 6 years ago
• a913cb82 / CSML_notes
  UCL MSc Computational Statistics and Machine Learning Revision Notes
  ☆289Updated 7 years ago
• bayesgroup / deepbayes-2018
  Seminars DeepBayes Summer School 2018
  ☆1,046Updated 6 years ago
• percyliang / cs229t
  Statistical Learning Theory (CS229T) Lecture Notes
  ☆723Updated 6 years ago
• robi56 / awesome-bayesian-deep-learning
  A curated list of resources dedicated to bayesian deep learning
  ☆417Updated 8 years ago
• wiseodd / probabilistic-models
  Collection of probabilistic models and inference algorithms
  ☆240Updated 5 years ago
• mlss-2019 / tutorials
  ☆276Updated 5 years ago
• dgkim5360 / the-elements-of-statistical-learning-notebooks
  Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…
  ☆293Updated 7 years ago
• MLaPP-Solution-Manual / Solutions-to-Machine-Learning-A-Probabilistic-Perspective-
  Solutions to "Machine Learning: A Probabilistic Perspective"
  ☆163Updated 4 years ago
• probtorch / probtorch
  Probabilistic Torch is library for deep generative models that extends PyTorch
  ☆894Updated last year
• sjchoi86 / bayes-nn
  Lecture notes on Bayesian deep learning
  ☆488Updated 7 years ago
• rll / deepul
  ☆824Updated 7 months ago
• OATML / bdl-benchmarks
  Bayesian Deep Learning Benchmarks
  ☆672Updated 2 years ago
• krasserm / bayesian-machine-learning
  Notebooks about Bayesian methods for machine learning
  ☆1,902Updated last year
• pukkapies / dl-imperial-maths
  Code and assignment repository for the Imperial College Mathematics department Deep Learning course
  ☆265Updated 6 years ago
• sangwoomo / ml-resources
  Personal and biased selection of ML resources
  ☆151Updated 5 years ago
• sotte / pytorch_tutorial
  PyTorch Tutorial (1.7)
  ☆457Updated 4 years ago
• ee227c / ee227c.github.io
  EE227C (Spring 2018) Course page
  ☆226Updated 4 years ago
• fastai / numerical-linear-algebra-v2
  Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program
  ☆279Updated 7 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
• mila-iqia / welcome_tutorials
  Various tutorials given for welcoming new students at MILA.
  ☆986Updated 7 years ago
• CSTR-Edinburgh / mlpractical
  Machine Learning Practical course repository
  ☆14Updated 5 years ago
• enggen / DeepMind-Advanced-Deep-Learning-and-Reinforcement-Learning
  Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind
  ☆846Updated 6 years ago