Alternatives and similar repositories for prml

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

• ctgk / PRML
  PRML algorithms implemented in Python
  ☆11,616Updated 2 months ago
• probml / pyprobml
  Python code for "Probabilistic Machine learning" book by Kevin Murphy
  ☆6,798Updated 6 months ago
• zhengqigao / PRML-Solution-Manual
  My Own Solution Manual of PRML
  ☆985Updated 4 years ago
• dvgodoy / PyTorchStepByStep
  Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"
  ☆1,093Updated 3 months ago
• jmtomczak / intro_dgm
  "Deep Generative Modeling": Introductory Examples
  ☆1,191Updated 8 months 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
  ☆891Updated 3 years ago
• hardikkamboj / An-Introduction-to-Statistical-Learning
  This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
  ☆2,426Updated 8 months ago
• probml / pml2-book
  Probabilistic Machine Learning: Advanced Topics
  ☆1,469Updated 2 months ago
• PacktPublishing / The-Kaggle-Book
  Code Repository for The Kaggle Book, Published by Packt Publishing
  ☆2,238Updated last month
• qiguming / MLAPP_CN_CODE
  《Machine Learning: A Probabilistic Perspective》（Kevin P. Murphy）中文翻译和书中算法的Python实现。
  ☆606Updated 4 months ago
• jiangyiqun233 / PRML_learning
  learning fomula
  ☆290Updated 3 years ago
• aladdinpersson / Machine-Learning-Collection
  A resource for learning about Machine learning & Deep Learning
  ☆8,123Updated 10 months ago
• telmo-correa / all-of-statistics
  Self-study on Larry Wasserman's "All of Statistics"
  ☆1,103Updated 2 years ago
• ZhiningLiu1998 / awesome-machine-learning-resources
  😎 A curated list of awesome lists across all machine learning topics. | 机器学习/深度学习/人工智能一切主题 (学习范式/任务/应用/模型/道德/交叉学科/数据集/框架/教程) 的资源列表汇总。
  ☆591Updated 2 years ago
• epfml / OptML_course
  EPFL Course - Optimization for Machine Learning - CS-439
  ☆1,282Updated 2 weeks ago
• yoninazarathy / MathematicalEngineeringDeepLearning
  Material for The Mathematical Engineering of Deep Learning. See https://deeplearningmath.org
  ☆449Updated 10 months ago
• nikolajohn / Pattern-Recognition-And-Machine-Learning-
  Pattern Recognition And Machine Learning 相关的学习资源
  ☆149Updated 5 years ago
• zhulei227 / ML_Notes
  机器学习算法的公式推导以及numpy实现
  ☆2,084Updated 2 years ago
• niuers / Linear-Algebra-and-Learning-from-Data
  Solutions to the problems in the book: Linear Algebra and Learning from Data by Gilbert Strang, MIT
  ☆279Updated 2 years ago
• probml / pml-book
  "Probabilistic Machine Learning" - a book series by Kevin Murphy
  ☆5,257Updated 2 months ago
• udlbook / udlbook
  Understanding Deep Learning - Simon J.D. Prince
  ☆7,558Updated 3 weeks ago
• roboticcam / machine-learning-notes
  My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义…
  ☆8,665Updated 8 months ago
• maxim5 / cs229-2018-autumn
  All notes and materials for the CS229: Machine Learning course by Stanford University
  ☆2,459Updated 4 months ago
• tsyw / MachineLearningNotes
  My personal notes
  ☆1,713Updated 2 years ago
• neonwatty / machine-learning-refined
  Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratc…
  ☆1,787Updated 4 months ago
• szcf-weiya / ESL-CN
  The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
  ☆2,573Updated last month
• maxim5 / cs229-2019-summer
  All notes and materials for the CS229: Machine Learning course by Stanford University
  ☆228Updated 3 years ago
• maziarraissi / Applied-Deep-Learning
  Applied Deep Learning Course
  ☆3,377Updated 2 years ago
• rll / deepul
  ☆806Updated 2 months ago
• datawhalechina / key-book
  《机器学习理论导引》（宝箱书）的证明、案例、概念补充与参考文献讲解。
  ☆1,628Updated 2 months ago