Alternatives and similar repositories for ciml:

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

• shagunsodhani / papers-I-read
  A-Paper-A-Week
  ☆944Updated 9 months ago
• dustinvtran / ml-videos
  A collection of video resources for machine learning
  ☆1,543Updated 4 years ago
• rasbt / deep-learning-book
  Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
  ☆2,795Updated 4 years ago
• mavam / stat-cookbook
  The probability and statistics cookbook
  ☆2,265Updated 2 years ago
• joanbruna / stat212b
  Topics Course on Deep Learning UC Berkeley
  ☆1,300Updated 7 years ago
• melling / MathAndScienceNotes
  Notes/links on math and science, including statistics, bayes, cmpsc, quant trading, machine learning, etc
  ☆516Updated 4 years ago
• goodfeli / theano_exercises
  Exercises for my tutorials on Theano
  ☆683Updated 9 years ago
• jdwittenauer / ipython-notebooks
  A collection of IPython notebooks covering various topics.
  ☆2,611Updated 4 years ago
• parrt / bookish
  A tool that translates augmented markdown into HTML or latex
  ☆465Updated 2 years ago
• rouseguy / DeepLearning-NLP
  Introduction to Deep Learning for Natural Language Processing
  ☆603Updated 4 years ago
• yala / introdeeplearning
  ☆264Updated 7 years ago
• Dpananos / GetCards
  Notebook to download machine learning flashcards
  ☆456Updated 4 years ago
• EderSantana / awesomeMLmath
  Curated list to learn the math basics for machine learning
  ☆247Updated 6 years ago
• YerevaNN / A-Guide-to-Deep-Learning
  📚 A detailed guide to deep learning: http://yerevann.com/a-guide-to-deep-learning/
  ☆216Updated 4 years ago
• oxford-cs-deepnlp-2017 / practical-1
  Oxford Deep NLP 2017 course - Practical 1: word2vec
  ☆253Updated 4 years ago
• mnielsen / notes-on-writing
  Notes on writing
  ☆532Updated 3 years ago
• juanklopper / MIT_OCW_Linear_Algebra_18_06
  IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)
  ☆554Updated last year
• dmitriydligach / PyMLSlides
  Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book
  ☆311Updated 3 years ago
• tomepel / Technical_Book_DL
  This note presents in a technical though hopefully pedagogical way the three most common forms of neural network architectures: Feedforwa…
  ☆1,388Updated 5 years ago
• ben519 / MLPB
  Machine Learning Problem Bible | Problem Set Here >>
  ☆714Updated 5 years ago
• rcompton / ml_cheat_sheet
  My notes and superstitions about common machine learning algorithms
  ☆365Updated 7 years ago
• asadoughi / stat-learning
  Notes and exercise attempts for "An Introduction to Statistical Learning"
  ☆2,142Updated 2 years ago
• cs109 / 2015
  Public material for CS109
  ☆1,480Updated 2 years ago
• amueller / scipy_2015_sklearn_tutorial
  Scikit-Learn tutorial material for Scipy 2015
  ☆575Updated 9 years ago
• bloomberg / foml
  Foundations of Machine Learning
  ☆338Updated last year
• kdexd / digit-classifier
  A single handwritten digit classifier, using the MNIST dataset. Pure Numpy.
  ☆786Updated 5 years ago
• cs109 / content
  Official content for Harvard CS109
  ☆1,773Updated 2 years ago
• rlabbe / ThinkBayes
  Jupyter Notebooks derived from Allen Downey's book Think Bayes.
  ☆395Updated 9 years ago
• floydhub / dl-setup
  Instructions for setting up the software on your deep learning machine
  ☆1,976Updated 6 years ago
• ipython-books / minibook-2nd-code
  Code of the IPython Minibook, 2nd edition (2015)
  ☆345Updated 4 years ago