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
  ☆188Updated last year
• ArthurZC23 / Machine-Learning-A-Probabilistic-Perspective-Solutions
  My solutions to Kevin Murphy Machine Learning Book
  ☆542Updated 5 years ago
• davidrosenberg / mlcourse
  Machine learning course materials.
  ☆578Updated 2 years ago
• Zhenye-Na / machine-learning-uiuc
  🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign
  ☆288Updated 6 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…
  ☆296Updated 7 years ago
• percyliang / cs229t
  Statistical Learning Theory (CS229T) Lecture Notes
  ☆723Updated 6 years ago
• goodfeli / dlbook_exercises
  Exercises for the Deep Learning textbook at www.deeplearningbook.org
  ☆1,414Updated 3 years ago
• dvklopfenstein / PrincetonAlgorithms
  Python implementations of selected Princeton Java Algorithms and Clients by Robert Sedgewick and Kevin Wayne
  ☆169Updated 8 months ago
• econti / cs229
  Stanford CS229 (Autumn 2017)
  ☆373Updated 8 years ago
• unpingco / Python-for-Probability-Statistics-and-Machine-Learning
  Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
  ☆793Updated 3 years ago
• ermongroup / cs228-notes
  Course notes for CS228: Probabilistic Graphical Models.
  ☆1,992Updated 7 months ago
• daviddao / deep-learning-book
  MIT Deep Learning Book in PDF format
  ☆559Updated 5 years ago
• vsmolyakov / experiments_with_python
  experiments with python
  ☆376Updated 8 years ago
• ReactiveCJ / BayesianLearning
  Bayesian Machine Learning
  ☆209Updated 3 years ago
• Wei2624 / AI_Learning_Hub
  AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics
  ☆57Updated 3 years ago
• bjpcjp / scikit-and-tensorflow-workbooks
  based on "Hands-On Machine Learning with Scikit-Learn & TensorFlow" (O'Reilly, Aurelien Geron)
  ☆316Updated 8 years ago
• bayesgroup / deepbayes-2018
  Seminars DeepBayes Summer School 2018
  ☆1,047Updated 6 years ago
• ChangeMyUsername / algorithms-sedgewick-python
  Algorithms(4th edition) by Robert Sedgewick and Kevin Wayne exercises in python
  ☆274Updated 4 years ago
• Wrosinski / MachineLearning_ResourcesCompilation
  Compilation of resources found around the web connected with Machine Learning, Deep Learning & Data Science in general.
  ☆94Updated 8 years ago
• kushagra06 / CS221_AI
  🥚 Stanford CS221: Artificial Intelligence: Principles and Techniques
  ☆84Updated 7 years ago
• zsdonghao / deep-learning-book
  《Deep Learning》《深度学习》 by Ian Goodfellow, Yoshua Bengio and Aaron Courville
  ☆573Updated 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
  ☆908Updated 4 years ago
• pennyliang / MachineLearning-C---code
  using c++ code to show the example of machine learning
  ☆491Updated 8 years ago
• krasserm / machine-learning-notebooks
  Stanford Machine Learning course exercises implemented with scikit-learn
  ☆352Updated 5 years ago
• CyberZHG / CLRS
  Some exercises and problems in Introduction to Algorithms 3rd edition.
  ☆461Updated last year
• juanklopper / MIT_OCW_Linear_Algebra_18_06
  IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)
  ☆568Updated 2 years ago
• stappit / all-of-statistics
  Solutions to Wasserman's 'All of Statistics'.
  ☆104Updated 6 years ago
• wwkenwong / book
  ☆505Updated 3 years ago
• L1aoXingyu / Roadmap-of-DL-and-ML
  Roadmap of DL and ML, some courses, study notes and paper summary
  ☆757Updated 7 years ago
• sujitpal / statlearning-notebooks
  Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).
  ☆378Updated 10 years ago