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
• davidrosenberg / mlcourse
  Machine learning course materials.
  ☆577Updated 2 years ago
• zsdonghao / deep-learning-book
  《Deep Learning》《深度学习》 by Ian Goodfellow, Yoshua Bengio and Aaron Courville
  ☆569Updated 6 years ago
• daviddao / deep-learning-book
  MIT Deep Learning Book in PDF format
  ☆558Updated 5 years ago
• kuleshov / teaching-material
  Teaching materials for the machine learning and deep learning classes at Stanford and Cornell
  ☆1,126Updated 5 years ago
• percyliang / cs229t
  Statistical Learning Theory (CS229T) Lecture Notes
  ☆722Updated 6 years ago
• econti / cs229
  Stanford CS229 (Autumn 2017)
  ☆371Updated 7 years ago
• goodfeli / dlbook_exercises
  Exercises for the Deep Learning textbook at www.deeplearningbook.org
  ☆1,399Updated 3 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
• wwkenwong / book
  ☆487Updated 2 years ago
• bayesgroup / deepbayes-2018
  Seminars DeepBayes Summer School 2018
  ☆1,046Updated 6 years ago
• unpingco / Python-for-Probability-Statistics-and-Machine-Learning
  Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
  ☆787Updated 3 years ago
• L1aoXingyu / Roadmap-of-DL-and-ML
  Roadmap of DL and ML, some courses, study notes and paper summary
  ☆756Updated 7 years ago
• probml / pmtk3
  Probabilistic Modeling Toolkit for Matlab/Octave.
  ☆1,571Updated 4 years ago
• ws13685555932 / 18.065_lecture_notes
  lecture notes of "Matrix Methods in Data Analysis, Signal Processing, and Machine Learning"
  ☆153Updated 6 years ago
• zhengqigao / PRML-Solution-Manual
  My Own Solution Manual of PRML
  ☆1,000Updated 4 years ago
• xiaqunfeng / machine-learning-yearning
  Translation of <Machine Learning Yearning> by Andrew NG
  ☆1,336Updated 2 years ago
• ImaginationZ / MS107
  ☆68Updated 12 years ago
• darksigma / Fundamentals-of-Deep-Learning-Book
  Code companion to the O'Reilly "Fundamentals of Deep Learning" book
  ☆665Updated 3 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
  ☆903Updated 4 years ago
• gy910210 / neural-network-from-scratch
  Implementing Multiple Layer Neural Network from Scratch
  ☆326Updated 9 years ago
• ermongroup / cs228-notes
  Course notes for CS228: Probabilistic Graphical Models.
  ☆1,979Updated 4 months ago
• cycleuser / MLAPP-CN
  A Chinese Notes of MLAPP，MLAPP 中文笔记项目 https://zhuanlan.zhihu.com/python-kivy
  ☆363Updated 4 years ago
• ShahariarRabby / deeplearning.ai
  deeplearning.ai , By Andrew Ng, All video link
  ☆656Updated 7 years ago
• alexsosn / MarslandMLAlgo
  Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.
  ☆148Updated 4 years ago
• DragonflyStats / Coursera-ML
  Machine Learning with Coursera
  ☆385Updated 2 months ago
• joanbruna / MathsDL-spring18
  Topics course Mathematics of Deep Learning, NYU, Spring 18
  ☆549Updated 2 years ago
• juanklopper / MIT_OCW_Linear_Algebra_18_06
  IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)
  ☆565Updated 2 years ago
• graphenessl / mit-ai-6034
  MIT 6.034 Artificial Intelligence
  ☆36Updated 7 years ago
• JWarmenhoven / Coursera-Machine-Learning
  Coursera Machine Learning - Python code
  ☆867Updated 5 years ago