Alternatives and similar repositories for PRML

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

• probml / probml-notebooks
  Notebooks for "Probabilistic Machine Learning" book
  ☆203Updated 3 years ago
• ivannz / mlss2019-bayesian-deep-learning
  MLSS2019 Tutorial on Bayesian Deep Learning
  ☆93Updated 5 years ago
• MLaPP-Solution-Manual / Solutions-to-Machine-Learning-A-Probabilistic-Perspective-
  Solutions to "Machine Learning: A Probabilistic Perspective"
  ☆162Updated 4 years ago
• zhengqigao / PRML-Solution-Manual
  My Own Solution Manual of PRML
  ☆989Updated 4 years ago
• yousuketakada / prml_errata
  More PRML Errata
  ☆80Updated 2 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
• kushagra06 / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆122Updated 6 years ago
• imirzadeh / awesome-causal-inference
  A (concise) curated list of awesome Causal Inference resources.
  ☆240Updated 2 years ago
• PKUAI26 / Deep-Learning-Advanced-Topics
  ☆154Updated 5 years ago
• mlss-2019 / slides
  ☆260Updated 5 years ago
• vbartle / MML-Companion
  This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…
  ☆281Updated 4 years ago
• lyakaap / pytorch-template
  My PyTorch project template (for Kaggle and research)
  ☆148Updated 6 years ago
• yzhao062 / awesome-ensemble-learning
  Ensemble learning related books, papers, videos, and toolboxes
  ☆297Updated 5 years ago
• xbresson / CE7454_2019
  Deep learning course CE7454, 2019
  ☆190Updated 5 years ago
• ws13685555932 / 18.065_lecture_notes
  lecture notes of "Matrix Methods in Data Analysis, Signal Processing, and Machine Learning"
  ☆150Updated 5 years ago
• tensorchiefs / dl_book
  legend
  ☆206Updated last year
• talwarabhimanyu / my-solutions-The-Elements-of-Statistical-Learning
  My solutions to problems of The Elements of Statistical Learning by Profs. Hastie, Tibshirani, and Friedman.
  ☆90Updated 6 years ago
• empathy87 / The-Elements-of-Statistical-Learning-Python-Notebooks
  A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book
  ☆897Updated 4 years ago
• florist-notes / CS228_PGM
  🌲 Stanford CS 228 - Probabilistic Graphical Models
  ☆136Updated 11 months ago
• wiseodd / probabilistic-models
  Collection of probabilistic models and inference algorithms
  ☆241Updated 5 years ago
• snowdj / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆88Updated 6 years ago
• Ynakatsuka / kaggle_utils
  My utility scripts for Kaggle competitions
  ☆119Updated 4 years ago
• soroosh-rz / Bayesian-Methods-for-Machine-Learning
  Bayesian Methods for Machine Learning
  ☆64Updated 6 years ago
• joanbruna / MathsDL-spring19
  Mathematics of Deep Learning, Courant Insititute, Spring 19
  ☆277Updated 6 years ago
• tirthajyoti / PyTorch_Machine_Learning
  Machine learning, Deep Learning, CNN with PyTorch
  ☆80Updated 5 years ago
• nyanp / nyaggle
  Code for Kaggle and Offline Competitions
  ☆294Updated last year
• shiernee / Advanced_ML
  ☆83Updated 2 years ago
• mohitzsh / ML-Interview
  Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews.
  ☆309Updated 3 years ago
• percyliang / cs229t
  Statistical Learning Theory (CS229T) Lecture Notes
  ☆720Updated 5 years ago
• bayesgroup / deepbayes-2019
  Practical assignments of the Deep|Bayes summer school 2019
  ☆832Updated 5 years ago