Alternatives and similar repositories for book

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

• kerasking / book-1
  book
  ☆708Updated 2 years ago
• RatulGhosh / awesome-machine-learning
  List of some awesome university courses for Machine Learning! Feel free to contribute!
  ☆137Updated 5 years ago
• Wei2624 / AI_Learning_Hub
  AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics
  ☆58Updated 3 years ago
• Zhenye-Na / machine-learning-uiuc
  🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign
  ☆283Updated 6 years ago
• ks838 / Murphy-Machine-Learning-A-Probabilistic-Perspective-Errata-and-Notes-4th-printing
  Murphy's Machine Learning: A Probabilistic Perspective Errata (4th and later printings)
  ☆68Updated 5 years ago
• 1094401996 / machine-learning-coursera
  Lecture notes and assignments for coursera machine learning class
  ☆95Updated 12 years ago
• glouppe / info8002-large-scale-data-systems
  Lectures for INFO8002 - Large-scale Data Systems, ULiège
  ☆67Updated 3 years ago
• stats385 / stats385.github.io
  STATS385 course website
  ☆89Updated 3 years ago
• alexsosn / MarslandMLAlgo
  Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.
  ☆149Updated 4 years ago
• cs230-stanford / website-2018-winter
  ☆90Updated 6 years ago
• stappit / all-of-statistics
  Solutions to Wasserman's 'All of Statistics'.
  ☆104Updated 6 years ago
• Wrosinski / MachineLearning_ResourcesCompilation
  Compilation of resources found around the web connected with Machine Learning, Deep Learning & Data Science in general.
  ☆93Updated 8 years ago
• joanbruna / MathsDL-spring18
  Topics course Mathematics of Deep Learning, NYU, Spring 18
  ☆549Updated 2 years ago
• percyliang / cs229t
  Statistical Learning Theory (CS229T) Lecture Notes
  ☆721Updated 5 years ago
• cmudeeplearning11785 / Spring2019_Tutorials
  ☆104Updated 6 years ago
• econti / cs229
  Stanford CS229 (Autumn 2017)
  ☆369Updated 7 years ago
• dvklopfenstein / PrincetonAlgorithms
  Python implementations of selected Princeton Java Algorithms and Clients by Robert Sedgewick and Kevin Wayne
  ☆167Updated 5 months ago
• zackchase / python-wow
  Python, so easy, wow!
  ☆139Updated 4 years ago
• dmitriydligach / PyMLSlides
  Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book
  ☆310Updated 4 years ago
• jayinai / how-to-kaggle
  A research into the workflow for Kaggle competition (and data science in general) collaboratively
  ☆48Updated 8 years ago
• davidrosenberg / mlcourse
  Machine learning course materials.
  ☆577Updated last year
• zhangruiskyline / DeepLearning
  Deep Learning introduction and its application in various fields
  ☆173Updated 4 years ago
• d2l-ai / notebooks
  ☆69Updated 6 years ago
• PacktPublishing / Mastering-TensorFlow-1x
  Mastering TensorFlow 1x, published by Packt
  ☆106Updated 2 years ago
• fastai / numerical-linear-algebra-v2
  Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program
  ☆276Updated 7 years ago
• kdubovikov / tf-vs-pytorch
  A companion code for my Medium post
  ☆122Updated 4 years ago
• jamt9000 / prml
  Some Jupyter notebooks based on Bishop's "Pattern Recognition and Machine Learning" book
  ☆76Updated 5 years ago
• sgfin / sgfin.github.io_old
  Sam Finlayson's Academic blog
  ☆95Updated 5 years ago
• zhuli19901106 / coursera-learning
  My lab works on Coursera, all locked with passwords.
  ☆49Updated last year
• ajtulloch / Elements-of-Statistical-Learning
  Contains LaTeX, SciPy and R code providing solutions to exercises in Elements of Statistical Learning (Hastie, Tibshirani & Friedman)
  ☆290Updated 11 years ago