Alternatives and similar repositories for ciml

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

• mavam / stat-cookbook
  The probability and statistics cookbook
  ☆2,269Updated 2 years ago
• melling / MathAndScienceNotes
  Notes/links on math and science, including statistics, bayes, cmpsc, quant trading, machine learning, etc
  ☆517Updated 4 years ago
• cs109 / 2015
  Public material for CS109
  ☆1,480Updated 2 years ago
• joanbruna / stat212b
  Topics Course on Deep Learning UC Berkeley
  ☆1,301Updated 7 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
• shagunsodhani / papers-I-read
  A-Paper-A-Week
  ☆944Updated 10 months ago
• goodfeli / dlbook_exercises
  Exercises for the Deep Learning textbook at www.deeplearningbook.org
  ☆1,363Updated 2 years ago
• bloomberg / foml
  Foundations of Machine Learning
  ☆339Updated last year
• bblais / Statistical-Inference-for-Everyone
  Introductory Statistical Inference
  ☆144Updated last year
• ermongroup / cs228-notes
  Course notes for CS228: Probabilistic Graphical Models.
  ☆1,951Updated last year
• data-8 / textbook
  The textbook Computational and Inferential Thinking: The Foundations of Data Science
  ☆852Updated 9 months ago
• goodfeli / theano_exercises
  Exercises for my tutorials on Theano
  ☆684Updated 9 years ago
• cs109 / a-2017
  Public Repository for cs109a, 2017 edition
  ☆326Updated last year
• cs109 / 2014
  Official content for the Fall 2014 Harvard CS109 Data Science course
  ☆318Updated 8 years ago
• dmitriydligach / PyMLSlides
  Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book
  ☆310Updated 3 years ago
• justmarkham / DAT3
  General Assembly's Data Science course in Washington, DC
  ☆666Updated 5 years ago
• machinelearningnanodegree / stanford-cs231
  Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for…
  ☆259Updated 8 years ago
• metacademy / metacademy-application
  Metacademy.org's application code
  ☆689Updated 2 years ago
• gdb / kaggle
  A collection of Kaggle solutions. Not very polished.
  ☆766Updated 6 years ago
• masinoa / machine_learning
  Python coded examples and documentation of machine learning algorithms.
  ☆611Updated 4 years ago
• llSourcell / The_Math_of_Intelligence
  This is the Syllabus for Siraj Raval's new course "The Math of Intelligence"
  ☆395Updated 7 years ago
• learnml / machine-learning-specialization
  ☆575Updated 7 years ago
• wzchen / probability_cheatsheet
  A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.
  ☆3,092Updated 2 years ago
• fonnesbeck / Bios8366
  Advanced Statistical Computing at Vanderbilt University Medical Center's Department of Biostatistics
  ☆542Updated 2 years ago
• fastai / numerical-linear-algebra-v2
  Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program
  ☆274Updated 6 years ago
• rouseguy / DeepLearning-NLP
  Introduction to Deep Learning for Natural Language Processing
  ☆603Updated 5 years ago
• 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
• avehtari / BDA_py_demos
  Bayesian Data Analysis demos for Python
  ☆1,015Updated last year
• Dpananos / GetCards
  Notebook to download machine learning flashcards
  ☆456Updated 4 years ago
• the-deep-learners / study-group
  Deep Learning Study Group
  ☆320Updated 4 years ago