Alternatives and similar repositories for ML-Murphy

Users that are interested in ML-Murphy are comparing it to the libraries listed below

• sjhwang82 / AdvancedML
  Reading list for the Advanced Machine Learning Course
  ☆375Updated 3 years ago
• rll / deepul
  ☆828Updated 9 months ago
• eemlcommunity / PracticalSessions2020
  Repository for tutorial sessions at EEML2020
  ☆270Updated 5 years ago
• kushagra06 / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆123Updated 7 years ago
• florist-notes / CS228_PGM
  🌲 Stanford CS 228 - Probabilistic Graphical Models
  ☆158Updated last year
• nyu-dl / Intro_to_ML_Lecture_Note
  ☆420Updated 2 years ago
• ArthurZC23 / Machine-Learning-A-Probabilistic-Perspective-Solutions
  My solutions to Kevin Murphy Machine Learning Book
  ☆542Updated 5 years ago
• coallaoh / Principles
  ☆248Updated 3 weeks ago
• sjchoi86 / rl_tutorial
  Yet Another Reinforcement Learning Tutorial
  ☆72Updated 2 years ago
• gyunggyung / PyTorch
  PyTorch tutorials A to Z
  ☆133Updated 3 years ago
• deepgenerativemodels / notes
  Course notes
  ☆740Updated last year
• zhengqigao / PRML-Solution-Manual
  My Own Solution Manual of PRML
  ☆1,002Updated 4 years ago
• probml / probml-notebooks
  Notebooks for "Probabilistic Machine Learning" book
  ☆201Updated 3 years ago
• joanbruna / MathsDL-spring19
  Mathematics of Deep Learning, Courant Insititute, Spring 19
  ☆277Updated 6 years ago
• hongdoki / neurips-2019-papers-by-category
  mo papers mo problems
  ☆20Updated 6 years ago
• ilmoi / MML-Book
  Code / solutions for Mathematics for Machine Learning (MML Book)
  ☆1,214Updated 4 months ago
• DAVIAN-Lab / Paper-study
  ☆122Updated 2 years ago
• utilForever / rl-paper-study
  Reinforcement Learning paper review study
  ☆227Updated 2 years ago
• sjhwang82 / DeepLearning
  Information and Materials for the Deep Learning Course
  ☆31Updated 3 years ago
• rishabhk108 / AdvancedOptML
  CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning
  ☆181Updated 4 years ago
• mtrazzi / rl-book-challenge
  self-studying the Sutton & Barto the hard way
  ☆204Updated 4 years ago
• acecreamu / ai-residency
  Example of a Cover letter for AI Residency
  ☆81Updated 6 years ago
• sjchoi86 / bayes-nn
  Lecture notes on Bayesian deep learning
  ☆489Updated 7 years ago
• aailabkaist / Introduction-to-Artificial-Intelligence-Machine-Learning
  Apache 2.0 License
  ☆159Updated 6 years ago
• shiernee / Advanced_ML
  ☆91Updated 2 years ago
• SeongokRyu / Bayesian-deep-learning
  Notes and codes of the topic "Bayesian deep learning"
  ☆56Updated 7 years ago
• sjchoi86 / 2022-1-deep-learning-applications
  ☆186Updated 3 years ago
• DeepSE / deeplearning-models
  A collection of various deep learning architectures, models, and tips
  ☆63Updated 5 years ago
• clam004 / intro_continual_learning
  This is a tutorial to connect the fundamental mathematics to a practical implementation addressing the continual learning problem of arti…
  ☆363Updated 2 years ago
• subinium / Deep-Papers
  Deep Learning Paper Simple Review + Helpful Article
  ☆47Updated 3 years ago