Alternatives and similar repositories for machine-learning-refined

Users that are interested in machine-learning-refined are comparing it to the libraries listed below

• 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
  ☆909Updated 4 years ago
• rasbt / stat479-deep-learning-ss19
  Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison
  ☆547Updated 6 years ago
• ritchieng / deep-learning-wizard
  Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.
  ☆868Updated 5 months ago
• krasserm / bayesian-machine-learning
  Notebooks about Bayesian methods for machine learning
  ☆1,912Updated last year
• 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…
  ☆424Updated 4 months ago
• vbartle / MML-Companion
  This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…
  ☆300Updated 5 years ago
• ilmoi / MML-Book
  Code / solutions for Mathematics for Machine Learning (MML Book)
  ☆1,214Updated 4 months ago
• ArthurZC23 / Machine-Learning-A-Probabilistic-Perspective-Solutions
  My solutions to Kevin Murphy Machine Learning Book
  ☆542Updated 5 years ago
• aburkov / theMLbook
  The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.
  ☆2,007Updated last year
• rasbt / stat453-deep-learning-ss21
  STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)
  ☆540Updated 4 years ago
• dair-ai / pytorch_notebooks
  🔥 A collection of PyTorch notebooks for learning and practicing deep learning
  ☆591Updated 3 years ago
• shervinea / stanford-cme-106-probability-and-statistics
  VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers
  ☆823Updated 5 years ago
• SethHWeidman / DLFS_code
  Code for the book Deep Learning From Scratch, from O'Reilly September 2019
  ☆609Updated last year
• bayesgroup / deepbayes-2019
  Practical assignments of the Deep|Bayes summer school 2019
  ☆834Updated 5 years ago
• falloutdurham / beginners-pytorch-deep-learning
  Repository for scripts and notebooks from the book: Programming PyTorch for Deep Learning
  ☆522Updated 3 years ago
• davidrosenberg / mlcourse
  Machine learning course materials.
  ☆578Updated 2 years ago
• the-deep-learners / deep-learning-illustrated
  Deep Learning Illustrated (2020)
  ☆783Updated 2 years ago
• rasbt / stat453-deep-learning-ss20
  STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)
  ☆576Updated 5 years ago
• amueller / COMS4995-s20
  COMS W4995 Applied Machine Learning - Spring 20
  ☆246Updated 3 years ago
• bfortuner / ml-glossary
  Machine learning glossary
  ☆3,113Updated last year
• JWarmenhoven / ISLR-python
  An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
  ☆4,389Updated 3 years ago
• rasbt / stat479-machine-learning-fs19
  Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison
  ☆782Updated 5 years ago
• hal3 / ciml
  A Course in Machine Learning
  ☆909Updated 2 years ago
• chiphuyen / just-pandas-things
  An ongoing list of pandas quirks
  ☆991Updated 2 years ago
• qx0731 / Sharing_ISL_python
  An Introduction to Statistical Learning with Applications in PYTHON
  ☆557Updated 4 years ago
• tdpetrou / Machine-Learning-Books-With-Python
  Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python
  ☆941Updated 3 years ago
• limberc / deeplearning.ai
  ☆224Updated 7 years ago
• rasbt / stat451-machine-learning-fs20
  STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)
  ☆451Updated last year
• AllenDowney / ThinkBayes2
  Text and code for the second edition of Think Bayes, by Allen Downey.
  ☆2,005Updated last month
• 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…
  ☆297Updated 7 years ago