Alternatives and similar repositories for MachineLearningBook

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

• PacktPublishing / Deep-Learning-with-TensorFlow-and-Keras-3rd-edition
  Deep Learning with TensorFlow and Keras – 3rd edition, Published by Packt
  ☆206Updated 3 months ago
• krishnonwork / mathematical-methods-in-deep-learning-ipython
  Python code (in the form of Jupyter ipython notebooks) to support the book "Math and Architectures of Deep Learning" (Krishnendu Chaudhur…
  ☆209Updated last year
• vbartle / MML-Companion
  This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…
  ☆286Updated 4 years ago
• EdwardRaff / Inside-Deep-Learning
  Inside Deep Learning: The math, the algorithms, the models
  ☆263Updated 2 years ago
• PacktPublishing / Hands-On-Deep-Learning-Algorithms-with-Python
  Hands-On Deep Learning Algorithms with Python, By Packt
  ☆139Updated 2 years ago
• NVDLI / LDL
  Learning Deep Learning
  ☆317Updated 9 months ago
• peteflorence / MachineLearning6.867
  My own notes, implementations, and musings for MIT's graduate course in machine learning, 6.867
  ☆342Updated last year
• Yousuf28 / Machine_Learning_Materials_to_Follow
  Machine Learning Materials
  ☆52Updated last year
• rasbt / stat451-machine-learning-fs20
  STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)
  ☆433Updated 11 months ago
• mikexcohen / LinAlgCourse
  Python and MATLAB code for online linear algebra course
  ☆181Updated 9 months ago
• PacktPublishing / Hands-On-Machine-Learning-with-scikit-learn-and-Scientific-Python-Toolkits
  The accompanying code for the book "Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits". A practical guide to imp…
  ☆130Updated 2 months ago
• sylvaticus / MITx_6.86x
  Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning
  ☆324Updated last year
• ageron / handson-mlp
  A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn a…
  ☆129Updated 3 weeks ago
• LoyumM / Mathematics-for-Machine-Learning-and-Data-Science-Specialization
  Non-credit online course by DeepLearning.AI
  ☆40Updated last year
• PacktWorkshops / The-Statistics-and-Calculus-with-Python-Workshop
  ☆146Updated last year
• arj7192 / MasteringPyTorchV2
  ☆149Updated last year
• gedeck / mistat-code-solutions
  Code repository for "Modern Statistics: A Computer Based Approach with Python" and "Industrial Statistics: A Computer Based Approach with…
  ☆106Updated 3 months ago
• PacktPublishing / Modern-Computer-Vision-with-PyTorch-2E
  Modern Computer Vision with PyTorch, 2E, Published by Packt
  ☆228Updated 3 months ago
• rasbt / stat453-deep-learning-ss21
  STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)
  ☆512Updated 3 years ago
• solegalli / feature-selection-in-machine-learning-book
  Code repository for the book feature selection in machine learning
  ☆33Updated 4 months ago
• curiousily / Machine-Learning-from-Scratch
  Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of…
  ☆183Updated 2 years ago
• AmandaZou / master-machine-learning-algorithms
  This is a repository for notes and codes of reading the book --- Jason Brownlee Master Machine Learning Algorithms
  ☆62Updated 5 years ago
• PacktPublishing / Mastering-PyTorch
  Mastering PyTorch, published by Packt
  ☆310Updated last year
• PacktPublishing / Graph-Machine-Learning
  Graph Machine Learning, published by Packt
  ☆297Updated last month
• kbehrman / foundational-python-for-data-science
  ☆66Updated 3 years ago
• gmortuza / Deep-Learning-Specialization
  This repository contains the programming assignments and slides from the deep learning course from coursera offered by deeplearning.ai
  ☆134Updated 4 years ago
• PacktPublishing / Python-Machine-Learning-By-Example-Third-Edition
  Python Machine Learning By Example Third Edition, published by Packt
  ☆203Updated 2 years ago
• snowdj / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆88Updated 6 years ago
• PacktPublishing / Data-Science-Projects-with-Python-Second-Ed
  ☆122Updated 2 years ago
• PacktPublishing / Hands-On-Gradient-Boosting-with-XGBoost-and-Scikit-learn
  Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt
  ☆211Updated 3 months ago