Alternatives and similar repositories for book-1

Users that are interested in book-1 are comparing it to the libraries listed below

• Jing--Li / book
  book
  ☆187Updated last year
• ArthurZC23 / Machine-Learning-A-Probabilistic-Perspective-Solutions
  My solutions to Kevin Murphy Machine Learning Book
  ☆540Updated 4 years ago
• percyliang / cs229t
  Statistical Learning Theory (CS229T) Lecture Notes
  ☆720Updated 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…
  ☆288Updated 7 years ago
• davidrosenberg / mlcourse
  Machine learning course materials.
  ☆573Updated last year
• zsdonghao / deep-learning-book
  《Deep Learning》《深度学习》 by Ian Goodfellow, Yoshua Bengio and Aaron Courville
  ☆563Updated 5 years ago
• econti / cs229
  Stanford CS229 (Autumn 2017)
  ☆366Updated 7 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
  ☆896Updated 3 years ago
• kuleshov / teaching-material
  Teaching materials for the machine learning and deep learning classes at Stanford and Cornell
  ☆1,122Updated 4 years ago
• goodfeli / dlbook_exercises
  Exercises for the Deep Learning textbook at www.deeplearningbook.org
  ☆1,369Updated 3 years ago
• graphenessl / mit-ai-6034
  MIT 6.034 Artificial Intelligence
  ☆34Updated 6 years ago
• gy910210 / neural-network-from-scratch
  Implementing Multiple Layer Neural Network from Scratch
  ☆322Updated 9 years ago
• daviddao / deep-learning-book
  MIT Deep Learning Book in PDF format
  ☆557Updated 4 years ago
• juanklopper / MIT_OCW_Linear_Algebra_18_06
  IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)
  ☆559Updated last year
• vsmolyakov / experiments_with_python
  experiments with python
  ☆380Updated 7 years ago
• zhengqigao / PRML-Solution-Manual
  My Own Solution Manual of PRML
  ☆987Updated 4 years ago
• probml / pmtk3
  Probabilistic Modeling Toolkit for Matlab/Octave.
  ☆1,562Updated 4 years ago
• krasserm / machine-learning-notebooks
  Stanford Machine Learning course exercises implemented with scikit-learn
  ☆348Updated 4 years ago
• wangjohn / mit-courses
  Repository of course notes and homework
  ☆424Updated 2 years ago
• gy910210 / rnn-from-scratch
  Implementing Recurrent Neural Network from Scratch
  ☆489Updated 7 years ago
• pbharrin / machinelearninginaction3x
  Source Code for Machine Learning in Action for Python 3.X
  ☆360Updated 5 years ago
• sujitpal / statlearning-notebooks
  Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).
  ☆378Updated 9 years ago
• unpingco / Python-for-Probability-Statistics-and-Machine-Learning
  Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
  ☆781Updated 2 years ago
• cycleuser / MLAPP-CN
  A Chinese Notes of MLAPP，MLAPP 中文笔记项目 https://zhuanlan.zhihu.com/python-kivy
  ☆364Updated 4 years ago
• wwkenwong / book
  ☆478Updated 2 years ago
• L1aoXingyu / Roadmap-of-DL-and-ML
  Roadmap of DL and ML, some courses, study notes and paper summary
  ☆756Updated 6 years ago
• ermongroup / cs228-notes
  Course notes for CS228: Probabilistic Graphical Models.
  ☆1,964Updated 3 weeks ago
• bayesgroup / deepbayes-2018
  Seminars DeepBayes Summer School 2018
  ☆1,045Updated 5 years ago
• ChangeMyUsername / algorithms-sedgewick-python
  Algorithms(4th edition) by Robert Sedgewick and Kevin Wayne exercises in python
  ☆275Updated 3 years ago
• CyberZHG / CLRS
  Some exercises and problems in Introduction to Algorithms 3rd edition.
  ☆456Updated last year