Alternatives and similar repositories for Machine-Learning-Foundations

Users that are interested in Machine-Learning-Foundations are comparing it to the libraries listed below

• lujiazho / MachineLearningPlayground
  Implementation of basic mathematical pattern recognition/machine learning techniques for fun
  ☆136Updated 3 years ago
• roessland / learning-from-data
  Caltech Machine Learning course notes and homework. Implements from scratch algorithms like SVM, neural networks, backpropagation, percep…
  ☆48Updated 6 years ago
• falloutdurham / beginners-pytorch-deep-learning
  Repository for scripts and notebooks from the book: Programming PyTorch for Deep Learning
  ☆522Updated 3 years ago
• niuers / Linear-Algebra-and-Learning-from-Data
  Solutions to the problems in the book: Linear Algebra and Learning from Data by Gilbert Strang, MIT
  ☆310Updated 3 years ago
• niuers / Learning-From-Data-A-Short-Course
  Solutions to the exercises and problems in the book: Learn From Data_A Short Course by Yaser Abu-Mostafa, Malik Magdon-Ismail and Hsuan-T…
  ☆252Updated 3 years ago
• econti / cs229
  Stanford CS229 (Autumn 2017)
  ☆373Updated 8 years ago
• wjssx / Machine-Learning-Book
  涉及机器学习中深度学习、强化学习、监督学习、集成学习相关的pdf书籍及其个人的阅读笔记
  ☆176Updated 6 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…
  ☆300Updated 5 years ago
• ws13685555932 / 18.065_lecture_notes
  lecture notes of "Matrix Methods in Data Analysis, Signal Processing, and Machine Learning"
  ☆153Updated 6 years ago
• shellfly / algs4-py
  A Python library for the textbook Algorithms, 4th edition
  ☆306Updated 3 years ago
• TangJiahui / 6.036_Machine_Learning
  Repo for MIT 6.036 Machine Learning
  ☆31Updated 5 years ago
• unpingco / Python-for-Probability-Statistics-and-Machine-Learning-2E
  Second edition of Springer Book Python for Probability, Statistics, and Machine Learning
  ☆373Updated 4 years ago
• Doraemonzzz / ML-Foundation-and-ML-Techniques
  台大机器学习课程作业详解
  ☆303Updated 6 years ago
• learning511 / cs229-assignments
  ☆195Updated 7 years ago
• Sierkinhane / CS229-ML-Implementation
  Implementation of algorithms introduced in CS229.
  ☆391Updated 3 years ago
• rasbt / stat451-machine-learning-fs20
  STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)
  ☆450Updated last year
• ppaquay / Learning-from-Data-Solutions
  Repository of my solutions to the problems of "Learning from Data"
  ☆277Updated 5 years ago
• MislavJuric / dive-into-deep-learning
  These are my exercise solutions to some of the exercises from Dive into Deep Learning book. They're in the pytorch folder.
  ☆26Updated 2 years ago
• wwkenwong / book
  ☆505Updated 3 years ago
• yoninazarathy / MathematicalEngineeringDeepLearning
  Material for The Mathematical Engineering of Deep Learning. See https://deeplearningmath.org
  ☆466Updated last year
• epfml / OptML_course
  EPFL Course - Optimization for Machine Learning - CS-439
  ☆1,376Updated 6 months ago
• ZJUGuoShuai / MachineLearningLectureNotes
  张志华机器学习导论 MOOC 讲义
  ☆129Updated 3 years ago
• jubnoske08 / linear_algebra
  Solutions to Linear Algebra Done Right, by Sheldon Axler.
  ☆394Updated 8 months ago
• yuanxiaosc / Machine_Learning_bookshelf
  机器学习深度学习相关书籍、课件、代码的仓库。 Machine learning is the warehouse of books, courseware and codes.
  ☆223Updated 6 years ago
• kalyan0510 / Intro2CV
  This repo includes solutions to all the 'in the class quizzes' and 7 problem sets of the Introduction to Computer Vision course (G Tech …
  ☆27Updated 3 years ago
• Apress / pytorch-recipes
  Source Code for 'PyTorch Recipes' by Pradeepta Mishra
  ☆62Updated 7 years ago
• joeldg / Deep-learning-books
  Books for machine learning, deep learning, math, NLP, CV, RL, etc
  ☆294Updated 4 years ago
• gajuahmd10 / NNFS-book-with-Implementation
  Book and code where describe each and every topic of neural network from scratch.
  ☆423Updated 10 months ago
• manjunath5496 / Quantum-Computing-Books
  "Quantum attention functions are the keys to quantum machine learning." ― Amit Ray
  ☆290Updated 5 years ago
• efeacer / Stanford_CS106B_Assignments
  My solutions to the assignments I have undertaken for the CS106B (Programming Abstractions in C++) course, in Stanford University. (2017…
  ☆29Updated 7 years ago