Alternatives and similar repositories for MML-Companion

Users that are interested in MML-Companion are comparing it to the libraries listed below

• rasbt / stat451-machine-learning-fs20
  STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)
  ☆448Updated last year
• snowdj / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆90Updated 6 years ago
• vbartle / VMLS-Companions
  These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.
  ☆350Updated 5 years ago
• rasbt / stat451-machine-learning-fs21
  ☆151Updated 4 years ago
• probml / probml-notebooks
  Notebooks for "Probabilistic Machine Learning" book
  ☆202Updated 3 years ago
• Machine-Learning-Tokyo / Math_resources
  ☆346Updated 5 years ago
• amueller / COMS4995-s20
  COMS W4995 Applied Machine Learning - Spring 20
  ☆245Updated 3 years ago
• unpingco / Python-for-Probability-Statistics-and-Machine-Learning-2E
  Second edition of Springer Book Python for Probability, Statistics, and Machine Learning
  ☆370Updated 4 years ago
• buruzaemon / stats-110
  ☆208Updated 3 years ago
• shilpa9a / Introduction_to_statistical_learning_summary_python
  Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.
  ☆188Updated last year
• EdwardRaff / Inside-Deep-Learning
  Inside Deep Learning: The math, the algorithms, the models
  ☆271Updated 2 years ago
• a-martyn / ISL-python
  Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
  ☆344Updated last year
• parrt / msds621
  Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning
  ☆347Updated 4 years ago
• maitbayev / the-elements-of-statistical-learning
  My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Frie…
  ☆422Updated 3 months ago
• shervinea / stanford-cme-102-ordinary-differential-equations
  VIP cheatsheets for Stanford's CME 102 Ordinary Differential Equations for Engineers
  ☆258Updated 5 years ago
• rasbt / stat453-deep-learning-ss20
  STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)
  ☆576Updated 5 years ago
• qx0731 / Sharing_ISL_python
  An Introduction to Statistical Learning with Applications in PYTHON
  ☆555Updated 4 years ago
• pabloinsente / math-app-ml
  Essential mathematics for applied machine learning and data science
  ☆79Updated 3 years ago
• rasbt / stat479-deep-learning-ss19
  Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison
  ☆545Updated 6 years ago
• kabartay / openunivcourses
  FREE ML Courses from Top Universities
  ☆254Updated 3 months 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
• shervinea / stanford-cme-106-probability-and-statistics
  VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers
  ☆808Updated 5 years ago
• sylvaticus / MITx_6.86x
  Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning
  ☆332Updated 2 years ago
• cfgranda / math-tools-nyu
  DS-GA 1013 Mathematical Tools for Data Science
  ☆52Updated 4 years ago
• rishabhk108 / AdvancedOptML
  CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning
  ☆181Updated 4 years ago
• mitx-data-science / 6.431x
  Probability - The Science of Uncertainty and Data
  ☆123Updated 6 years ago
• hrnbot / Basic-Mathematics-for-Machine-Learning
  The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learni…
  ☆719Updated 3 years ago
• harvard-ml-courses / cs181-textbook
  ☆270Updated 6 months ago
• uu-sml / course-sml-public
  Course material for 1RT700 Statistical Machine Learning
  ☆64Updated 3 weeks ago
• shiernee / Advanced_ML
  ☆89Updated 2 years ago