Alternatives and similar repositories for course-sml-public

Users that are interested in course-sml-public are comparing it to the libraries listed below

• rasbt / stat451-machine-learning-fs21
  ☆151Updated 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…
  ☆297Updated 5 years ago
• sscardapane / neural-networks-for-data-science
  Notebooks for a course
  ☆41Updated 6 years ago
• probml / probml-notebooks
  Notebooks for "Probabilistic Machine Learning" book
  ☆202Updated 3 years ago
• uu-sml / sml-book-page
  Page for the SML book
  ☆55Updated 3 years ago
• philipphennig / NumericsOfML
  Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen
  ☆224Updated last year
• snowdj / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆90Updated 7 years ago
• gwthomas / math4ml
  Notes on mathematical topics that pertain to machine learning
  ☆112Updated 4 years ago
• mohd-faizy / Probabilistic-Deep-Learning-with-TensorFlow
  Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…
  ☆72Updated 4 months ago
• shiernee / Advanced_ML
  ☆90Updated 2 years ago
• cliburn / sta-663-2020
  ☆45Updated 5 years ago
• FJRubio67 / StatisticalInference
  Lecture Notes on Statistical Inference
  ☆77Updated last year
• alexjungaalto / MachineLearningTheBasics
  Working files for the textbook project "Machine Learning. The Basics"
  ☆125Updated 3 months ago
• glouppe / info8004-advanced-machine-learning
  Lectures for INFO8004 Advanced Machine Learning, ULiège
  ☆116Updated 9 months ago
• mikexcohen / LinAlgBook
  Python and MATLAB code for linear algebra textbook.
  ☆199Updated last year
• vbartle / VMLS-Companions
  These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.
  ☆351Updated 5 years ago
• muandet-lab / ipml-course
  A course on imprecise probabilistic machine learning
  ☆113Updated last week
• alexandrahotti / Solutions-to-A-Students-Guide-to-Bayesian-Statistics-by-Ben-Lambert
  My solutions to the assignments in the book: "A Student’s Guide to Bayesian Statistics" by Ben Lambert.
  ☆74Updated last year
• ycrc / parallel_python
  Parallel Programming with Python Tutorial
  ☆40Updated 2 years ago
• SummerSchoolMachineLearning / SMILES2020
  Repository with all material for SMILES, the Summer School of Machine Learning at Skoltech, taking place from the 16th to the 21st of Aug…
  ☆55Updated 5 years ago
• cfgranda / math-tools-nyu
  DS-GA 1013 Mathematical Tools for Data Science
  ☆53Updated 4 years ago
• probml / bandits
  Bayesian Bandits
  ☆68Updated 2 years ago
• AllenDowney / BayesianDecisionAnalysis
  Repository for a workshop on Bayesian Decision Analysis
  ☆74Updated 2 years ago
• Hadar933 / Intro-to-Deep-Learning
  Lecture notes & Exercises
  ☆46Updated 3 years ago
• pabloinsente / math-app-ml
  Essential mathematics for applied machine learning and data science
  ☆79Updated 3 years ago
• yacineMahdid / artificial-intelligence-and-machine-learning
  A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well …
  ☆184Updated last year
• shervinea / stanford-cme-102-ordinary-differential-equations
  VIP cheatsheets for Stanford's CME 102 Ordinary Differential Equations for Engineers
  ☆257Updated 5 years ago
• Foundations-of-Applied-Mathematics / Student-Materials
  Specification files for the Foundations of Applied Mathematics lab curriculum. https://foundations-of-applied-mathematics.github.io/
  ☆55Updated last year
• Hadar933 / Deep-Reinforcement-Learning
  DRL university course lecture notes & exercises
  ☆86Updated 2 years ago
• HHU-MMBS / RepresentationLearning_SS2023
  Representation Learning MSc course Summer Semester 2023
  ☆87Updated 2 years ago