Alternatives and similar repositories for PRML

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

• MLaPP-Solution-Manual / Solutions-to-Machine-Learning-A-Probabilistic-Perspective-
  Solutions to "Machine Learning: A Probabilistic Perspective"
  ☆162Updated 4 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
• kushagra06 / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆122Updated 6 years ago
• probml / probml-notebooks
  Notebooks for "Probabilistic Machine Learning" book
  ☆202Updated 3 years ago
• ivannz / mlss2019-bayesian-deep-learning
  MLSS2019 Tutorial on Bayesian Deep Learning
  ☆93Updated 5 years ago
• mohitzsh / ML-Interview
  Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews.
  ☆315Updated 3 years ago
• tensorchiefs / dl_book
  legend
  ☆209Updated 2 years ago
• xbresson / CE7454_2019
  Deep learning course CE7454, 2019
  ☆191Updated 6 years ago
• zhengqigao / PRML-Solution-Manual
  My Own Solution Manual of PRML
  ☆998Updated 4 years ago
• vinsis / understanding-neuralnetworks-pytorch
  Understanding nuts and bolts of neural networks with PyTorch
  ☆33Updated 4 years ago
• mlss-2019 / slides
  ☆260Updated 6 years ago
• deepgenerativemodels / notes
  Course notes
  ☆727Updated last year
• snowdj / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆89Updated 6 years ago
• PKUAI26 / Deep-Learning-Advanced-Topics
  ☆154Updated 5 years ago
• joanbruna / MathsDL-spring19
  Mathematics of Deep Learning, Courant Insititute, Spring 19
  ☆278Updated 6 years ago
• xbresson / CE7454_2018
  Deep learning course CE7454, 2018
  ☆79Updated 6 years ago
• florist-notes / CS228_PGM
  🌲 Stanford CS 228 - Probabilistic Graphical Models
  ☆145Updated last year
• ArthurZC23 / Machine-Learning-A-Probabilistic-Perspective-Solutions
  My solutions to Kevin Murphy Machine Learning Book
  ☆540Updated 5 years ago
• shiernee / Advanced_ML
  ☆88Updated 2 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…
  ☆294Updated 4 years ago
• soroosh-rz / Bayesian-Methods-for-Machine-Learning
  Bayesian Methods for Machine Learning
  ☆66Updated 6 years ago
• bayesgroup / deepbayes-2019
  Practical assignments of the Deep|Bayes summer school 2019
  ☆833Updated 5 years ago
• yousuketakada / prml_errata
  More PRML Errata
  ☆81Updated 2 years ago
• imirzadeh / awesome-causal-inference
  A (concise) curated list of awesome Causal Inference resources.
  ☆244Updated 3 years ago
• pyoungkangkim / Generative-Deep-Learning-Code-in-Pytorch
  The code repository for examples in the O'Reilly book 'Generative Deep Learning' using Pytorch
  ☆184Updated 5 years ago
• Zhenye-Na / machine-learning-uiuc
  🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign
  ☆283Updated 6 years ago
• yusugomori / deeplearning-tf2
  Deep learning model zoo with TensorFlow 2.X (& Keras)
  ☆134Updated 4 years ago
• yzhao062 / awesome-ensemble-learning
  Ensemble learning related books, papers, videos, and toolboxes
  ☆300Updated 6 years ago
• probabilisticai / probai-2019
  Materials of the Nordic Probabilistic AI School 2019.
  ☆129Updated 5 years ago
• nyanp / nyaggle
  Code for Kaggle and Offline Competitions
  ☆292Updated 2 years ago