Alternatives and similar repositories for mlbook

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

• rasbt / stat451-machine-learning-fs20
  STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)
  ☆440Updated last year
• towardsai / tutorials
  AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
  ☆1,010Updated last year
• 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…
  ☆710Updated 3 years ago
• Machine-Learning-Tokyo / AI_Curriculum
  Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
  ☆2,556Updated 4 years ago
• shervinea / mit-15-003-data-science-tools
  Study guides for MIT's 15.003 Data Science Tools
  ☆1,883Updated 5 years ago
• Machine-Learning-Tokyo / Math_resources
  ☆346Updated 5 years ago
• 5x12 / themlsbook
  This repository is a supplement to the 'Machine Learning Simplified: A Gentle Introduction to Supervised Learning' book.
  ☆428Updated last year
• rentruewang / learning-machine
  A handbook for ML built on answers.
  ☆494Updated last month
• justmarkham / scikit-learn-tips
  50 scikit-learn tips
  ☆1,739Updated 3 years ago
• Machine-Learning-Tokyo / Interactive_Tools
  Interactive Tools for Machine Learning, Deep Learning and Math
  ☆2,788Updated last year
• parrt / msds621
  Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning
  ☆348Updated 3 years ago
• the-full-stack / course-gitbook
  Full Stack Deep Learning Online Course
  ☆906Updated 4 years ago
• fastai / course20
  Deep Learning for Coders, 2020, the website
  ☆846Updated 3 years ago
• shervinea / stanford-cme-106-probability-and-statistics
  VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers
  ☆791Updated 5 years ago
• dair-ai / d2l-study-group
  🧠 Material for the Deep Learning Study Group
  ☆394Updated 3 years ago
• yoninazarathy / MathematicalEngineeringDeepLearning
  Material for The Mathematical Engineering of Deep Learning. See https://deeplearningmath.org
  ☆461Updated last year
• aburkov / theMLbook
  The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.
  ☆1,991Updated last year
• unpingco / Python-for-Probability-Statistics-and-Machine-Learning-2E
  Second edition of Springer Book Python for Probability, Statistics, and Machine Learning
  ☆368Updated 4 years 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…
  ☆294Updated 4 years ago
• luspr / awesome-ml-courses
  Awesome free machine learning and AI courses with video lectures.
  ☆3,026Updated 10 months ago
• hundredblocks / ml-powered-applications
  Companion repository for the book Building Machine Learning Powered Applications
  ☆692Updated 2 years ago
• d0r1h / ML-University
  Machine Learning Open Source University
  ☆915Updated 4 months ago
• DustinAlandzes / machine-learning-with-python-cookbook-notes
  (Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form
  ☆288Updated 2 years ago
• rasbt / stat453-deep-learning-ss20
  STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)
  ☆575Updated 5 years ago
• duchesnay / pystatsml
  Statistics and Machine Learning in Python
  ☆199Updated 2 weeks ago
• Atcold / NYU-DLSP21
  NYU Deep Learning Spring 2021
  ☆1,643Updated last month
• practical-nlp / practical-nlp-code
  Official Repository for Code associated with 'Practical Natural Language Processing' book by O'Reilly Media
  ☆1,418Updated 2 years ago
• PacktPublishing / Interpretable-Machine-Learning-with-Python
  Interpretable Machine Learning with Python, published by Packt
  ☆475Updated last month
• Gautam-J / Machine-Learning
  Implementation of different ML Algorithms from scratch, written in Python 3.x
  ☆412Updated last year
• dair-ai / pytorch_notebooks
  🔥 A collection of PyTorch notebooks for learning and practicing deep learning
  ☆583Updated 2 years ago