Alternatives and similar repositories for Solutions-to-Machine-Learning-A-Probabilistic-Perspective-

Users that are interested in Solutions-to-Machine-Learning-A-Probabilistic-Perspective- are comparing it to the libraries listed below

• ArthurZC23 / Machine-Learning-A-Probabilistic-Perspective-Solutions
  My solutions to Kevin Murphy Machine Learning Book
  ☆539Updated 4 years ago
• ivannz / mlss2019-bayesian-deep-learning
  MLSS2019 Tutorial on Bayesian Deep Learning
  ☆93Updated 5 years ago
• kushagra06 / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆121Updated 6 years ago
• ks838 / Murphy-Machine-Learning-A-Probabilistic-Perspective-Errata-and-Notes-4th-printing
  Murphy's Machine Learning: A Probabilistic Perspective Errata (4th and later printings)
  ☆68Updated 5 years ago
• tengyuma / cs229m_notes
  ☆229Updated 2 years ago
• talwarabhimanyu / my-solutions-The-Elements-of-Statistical-Learning
  My solutions to problems of The Elements of Statistical Learning by Profs. Hastie, Tibshirani, and Friedman.
  ☆90Updated 6 years ago
• joanbruna / MathsDL-spring19
  Mathematics of Deep Learning, Courant Insititute, Spring 19
  ☆277Updated 6 years ago
• yousuketakada / prml_errata
  More PRML Errata
  ☆80Updated 2 years ago
• 2prime / Paper-Reading
  Paper Reading
  ☆73Updated 7 years ago
• LynnHo / Matrix-Calculus-Tutorial
  Matrix Calculus via Differentials, Matrix Derivative, 矩阵求导教程
  ☆284Updated 2 years ago
• 2prime / ODE-DL
  Paper List For Linking ODE and Deep Learning
  ☆245Updated 5 years ago
• mlss-2019 / slides
  ☆260Updated 5 years ago
• Dolores2333 / MATH5411
  All you need for MATH5411 Advanced Probability, 2020 Fall, HKUST, Lecturer BAO Zhigang.
  ☆55Updated 4 years ago
• zhengqigao / PRML-Solution-Manual
  My Own Solution Manual of PRML
  ☆985Updated 4 years ago
• ee227c / ee227c.github.io
  EE227C (Spring 2018) Course page
  ☆224Updated 4 years ago
• fwcore / mean-field-theory-deep-learning
  paper lists and information on mean-field theory of deep learning
  ☆77Updated 6 years ago
• evanzd / ICLR2021-OpenReviewData
  Crawl & visualize ICLR papers and reviews.
  ☆447Updated 3 years ago
• percyliang / cs229t
  Statistical Learning Theory (CS229T) Lecture Notes
  ☆720Updated 5 years ago
• niaohe / Convex-Optimization-Course
  Repository for my convex optimization course.
  ☆54Updated 4 years ago
• florist-notes / CS228_PGM
  🌲 Stanford CS 228 - Probabilistic Graphical Models
  ☆133Updated 9 months ago
• wiseodd / probabilistic-models
  Collection of probabilistic models and inference algorithms
  ☆241Updated 5 years ago
• otokonoko8 / implicit-variational-inference
  The collection of recent papers about variational inference
  ☆85Updated 5 years ago
• otokonoko8 / deep-Bayesian-nonparametrics-papers
  The collection of papers about combining deep learning and Bayesian nonparametrics
  ☆121Updated 5 years ago
• Mehooz / awesome-representation-learning
  The newest reading list for representation learning
  ☆116Updated 4 years ago
• mcgrady20150318 / BayesianNeuralNetwork
  a repo sharing Bayesian Neural Network recent papers
  ☆216Updated 5 years ago
• debmandal / RL-Causality
  References at the Intersection of Causality and Reinforcement Learning
  ☆89Updated 4 years ago
• Atcold / SP19-DL-collaborative-notes
  Collaborative lecture notes for Spring '19 NYU DL class
  ☆119Updated 5 years ago
• ssydasheng / Bayesian_neural_network_papers
  Papers for Bayesian-NN
  ☆325Updated 5 years ago
• pluskid / fitting-random-labels
  Example code for the paper "Understanding deep learning requires rethinking generalization"
  ☆178Updated 5 years ago
• sangwoomo / ml-resources
  Personal and biased selection of ML resources
  ☆150Updated 5 years ago