Alternatives and similar repositories for PRMLT

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

• ctgk / PRML
  PRML algorithms implemented in Python
  ☆11,707Updated 9 months ago
• shuhuai007 / Machine-Learning-Session
  ☆5,221Updated 5 years ago
• SmirkCao / Lihang
  Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
  ☆6,265Updated 2 years ago
• WenDesi / lihang_book_algorithm
  致力于将李航博士《统计学习方法》一书中所有算法实现一遍
  ☆5,827Updated 6 years ago
• JustFollowUs / Machine-Learning
  ☆3,173Updated last year
• jindongwang / transferlearning-tutorial
  《迁移学习简明手册》LaTex源码
  ☆2,538Updated 2 years ago
• allmachinelearning / MachineLearning
  Machine learning resources
  ☆3,737Updated last year
• 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。
  ☆2,682Updated last week
• cycleuser / Stanford-CS-229
  A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译
  ☆3,436Updated 3 years ago
• jiqizhixin / ML-Tutorial-Experiment
  Coding the Machine Learning Tutorial for Learning to Learn
  ☆2,503Updated 6 years ago
• probml / pmtk3
  Probabilistic Modeling Toolkit for Matlab/Octave.
  ☆1,571Updated 4 years ago
• jindongwang / MachineLearning
  一些关于机器学习的学习资料与研究介绍
  ☆2,008Updated 7 years ago
• cs231n / cs231n.github.io
  Public facing notes page
  ☆10,730Updated 4 months ago
• pbharrin / machinelearninginaction
  Source Code for the book: Machine Learning in Action published by Manning
  ☆2,399Updated 5 years ago
• wzyonggege / statistical-learning-method
  《统计学习方法》笔记-基于Python算法实现
  ☆2,148Updated 7 years 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…
  ☆8,799Updated this week
• RedstoneWill / HsuanTienLin_MachineLearning
  ☆2,778Updated 5 years ago
• nfmcclure / tensorflow_cookbook
  Code for Tensorflow Machine Learning Cookbook
  ☆6,257Updated last year
• exacity / simplified-deeplearning
  Simplified implementations of deep learning related works
  ☆2,543Updated last year
• Dod-o / Statistical-Learning-Method_Code
  手写实现李航《统计学习方法》书中全部算法
  ☆11,568Updated last month
• DeqianBai / Hands-on-Machine-Learning
  A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python…
  ☆1,549Updated 3 years ago
• graykode / distribution-is-all-you-need
  The basic distribution probability Tutorial for Deep Learning Researchers
  ☆1,644Updated 5 years ago
• cjlin1 / libsvm
  LIBSVM -- A Library for Support Vector Machines
  ☆4,690Updated last week
• lijin-THU / notes-machine-learning
  鉴于我没有时间继续写这个东西，这个项目暂时废止
  ☆856Updated 8 years ago
• L1aoXingyu / code-of-learn-deep-learning-with-pytorch
  This is code of book "Learn Deep Learning with PyTorch"
  ☆2,874Updated last year
• rasmusbergpalm / DeepLearnToolbox
  Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoen…
  ☆3,865Updated 7 years ago
• ddbourgin / numpy-ml
  Machine learning, in numpy
  ☆16,222Updated 2 years ago
• yunjey / pytorch-tutorial
  PyTorch Tutorial for Deep Learning Researchers
  ☆32,082Updated 2 years ago
• lightaime / cs231n
  cs231n assignments sovled by https://ghli.org
  ☆1,399Updated 3 years ago
• fengdu78 / lihang-code
  《统计学习方法》的代码实现
  ☆19,535Updated 2 years ago