Alternatives and similar repositories for OptML_course

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

• epfml / ML_course
  EPFL Machine Learning Course, Fall 2024
  ☆1,314Updated 7 months ago
• florist-notes / CS228_PGM
  🌲 Stanford CS 228 - Probabilistic Graphical Models
  ☆136Updated 11 months ago
• tengyuma / cs229m_notes
  ☆232Updated 2 years ago
• deepgenerativemodels / notes
  Course notes
  ☆708Updated last year
• rll / deepul
  ☆812Updated 4 months ago
• kushagra06 / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆122Updated 6 years ago
• zhengqigao / PRML-Solution-Manual
  My Own Solution Manual of PRML
  ☆989Updated 4 years ago
• jmtomczak / intro_dgm
  "Deep Generative Modeling": Introductory Examples
  ☆1,224Updated last week
• bayesgroup / deepbayes-2019
  Practical assignments of the Deep|Bayes summer school 2019
  ☆831Updated 5 years ago
• probml / pml2-book
  Probabilistic Machine Learning: Advanced Topics
  ☆1,479Updated 4 months ago
• mazhengcn / suggested-notation-for-machine-learning
  This introduces a suggestion of mathematical notation protocol for machine learning.
  ☆477Updated last year
• philipphennig / Probabilistic_ML
  Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023
  ☆174Updated last year
• krasserm / bayesian-machine-learning
  Notebooks about Bayesian methods for machine learning
  ☆1,877Updated last year
• rishabhk108 / AdvancedOptML
  CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning
  ☆180Updated 4 years ago
• cvxpy / cvxpylayers
  Differentiable convex optimization layers
  ☆1,970Updated 2 weeks 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
  ☆288Updated 2 years ago
• DeepLearningDTU / 02456-deep-learning-with-PyTorch
  Exercises and supplementary material for the deep learning course 02456 using PyTorch.
  ☆330Updated 9 months ago
• paperswithcode / releasing-research-code
  Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
  ☆2,829Updated 2 years ago
• phlippe / uvadlc_notebooks
  Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
  ☆2,945Updated 5 months ago
• macoj / phd
  A list of resources on how/why to do a PhD
  ☆364Updated 5 years ago
• ArthurZC23 / Machine-Learning-A-Probabilistic-Perspective-Solutions
  My solutions to Kevin Murphy Machine Learning Book
  ☆541Updated 5 years ago
• awesome-mlss / awesome-mlss
  🤖 Machine Learning Summer School Guide
  ☆2,877Updated 3 weeks ago
• google / neural-tangents
  Fast and Easy Infinite Neural Networks in Python
  ☆2,357Updated last year
• baegwangbin / MLMI
  MPhil Machine Learning and Machine Intelligence @ University of Cambridge
  ☆50Updated 6 years ago
• jwangjie / Gaussian-Process-Regression-Tutorial
  An Intuitive Tutorial to Gaussian Processes Regression
  ☆636Updated last year
• ilmoi / MML-Book
  Code / solutions for Mathematics for Machine Learning (MML Book)
  ☆1,151Updated 2 years ago
• epfl-ada / 2021
  Materials for Applied Data Analysis CS-401, Fall 2021
  ☆45Updated 2 years ago
• MLaPP-Solution-Manual / Solutions-to-Machine-Learning-A-Probabilistic-Perspective-
  Solutions to "Machine Learning: A Probabilistic Perspective"
  ☆162Updated 4 years ago
• IgorSusmelj / pytorch-styleguide
  An unofficial styleguide and best practices summary for PyTorch
  ☆1,995Updated 3 years ago
• gordicaleksa / get-started-with-JAX
  The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series o…
  ☆749Updated last year