Alternatives and similar repositories for PRML-Solution-Manual

Users that are interested in PRML-Solution-Manual are comparing it to the libraries listed below

• ArthurZC23 / Machine-Learning-A-Probabilistic-Perspective-Solutions
  My solutions to Kevin Murphy Machine Learning Book
  ☆541Updated 5 years ago
• MLaPP-Solution-Manual / Solutions-to-Machine-Learning-A-Probabilistic-Perspective-
  Solutions to "Machine Learning: A Probabilistic Perspective"
  ☆164Updated 4 years ago
• epfml / OptML_course
  EPFL Course - Optimization for Machine Learning - CS-439
  ☆1,364Updated 6 months ago
• deepgenerativemodels / notes
  Course notes
  ☆737Updated last year
• kushagra06 / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆122Updated 7 years ago
• rll / deepul
  ☆828Updated 9 months ago
• tengyuma / cs229m_notes
  ☆241Updated 3 years ago
• bayesgroup / deepbayes-2019
  Practical assignments of the Deep|Bayes summer school 2019
  ☆835Updated 5 years ago
• ermongroup / cs228-notes
  Course notes for CS228: Probabilistic Graphical Models.
  ☆1,990Updated 6 months ago
• amber-kshz / PRML
  Python implementations (on jupyter notebook) of algorithms described in the book "PRML"
  ☆259Updated 4 years ago
• Zhenye-Na / machine-learning-uiuc
  🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign
  ☆288Updated 6 years ago
• YuhangZhou88 / ESL_Solution
  ☆286Updated 3 years ago
• joanbruna / MathsDL-spring18
  Topics course Mathematics of Deep Learning, NYU, Spring 18
  ☆547Updated 2 years ago
• davidrosenberg / mlcourse
  Machine learning course materials.
  ☆578Updated 2 years ago
• florist-notes / CS228_PGM
  🌲 Stanford CS 228 - Probabilistic Graphical Models
  ☆153Updated last year
• probml / pml2-book
  Probabilistic Machine Learning: Advanced Topics
  ☆1,511Updated last month
• MahanFathi / CS231
  Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
  ☆384Updated 3 years ago
• joanbruna / MathsDL-spring19
  Mathematics of Deep Learning, Courant Insititute, Spring 19
  ☆277Updated 6 years ago
• wkentaro / pytorch-for-numpy-users
  PyTorch for Numpy users. https://pytorch-for-numpy-users.wkentaro.com
  ☆705Updated 2 years ago
• vahidk / EffectivePyTorch
  PyTorch tutorials and best practices.
  ☆1,709Updated 9 months ago
• krasserm / bayesian-machine-learning
  Notebooks about Bayesian methods for machine learning
  ☆1,908Updated last year
• matthewvowels1 / Awesome-VAEs
  A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
  ☆838Updated 4 years ago
• ilmoi / MML-Book
  Code / solutions for Mathematics for Machine Learning (MML Book)
  ☆1,200Updated 3 months ago
• ssydasheng / Bayesian_neural_network_papers
  Papers for Bayesian-NN
  ☆326Updated 6 years ago
• bayesgroup / deepbayes-2018
  Seminars DeepBayes Summer School 2018
  ☆1,047Updated 6 years ago
• davidbau / how-to-read-pytorch
  Quick, visual, principled introduction to pytorch code through five colab notebooks.
  ☆454Updated last year
• ppaquay / Learning-from-Data-Solutions
  Repository of my solutions to the problems of "Learning from Data"
  ☆277Updated 5 years ago
• moemen95 / Pytorch-Project-Template
  A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.
  ☆912Updated 2 years ago
• fregu856 / papers
  I categorize, annotate and write comments for all research papers I read (500+ papers since 2018).
  ☆408Updated 3 months ago
• jmtomczak / intro_dgm
  "Deep Generative Modeling": Introductory Examples
  ☆1,281Updated 4 months ago