Alternatives and similar repositories for Stanford-Probabilistic-Graphical-Models-Coursera

Users that are interested in Stanford-Probabilistic-Graphical-Models-Coursera are comparing it to the libraries listed below

• inf16nyu / home
  ☆77Updated 8 years ago
• anhncs / Probabilistic-Graphical-Models
  Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.
  ☆104Updated 12 years ago
• jamt9000 / prml
  Some Jupyter notebooks based on Bishop's "Pattern Recognition and Machine Learning" book
  ☆76Updated 5 years ago
• joanbruna / ir18
  Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18
  ☆66Updated 6 years ago
• djour / PyBRML
  Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning
  ☆163Updated 9 years ago
• tegg89 / Deep-tutorials
  A collection of tutorials from Deep Learning conferences.
  ☆32Updated 8 years ago
• joanbruna / ir17
  ☆31Updated 7 years ago
• mila-iqia / summerschool2017
  Material for the Montréal Deep Learning Summer School 2017
  ☆77Updated 7 years ago
• joanbruna / infrep17
  DS-GA-1005 Inference and Representation
  ☆15Updated 7 years ago
• geyang / deep_learning_notes
  a collection of my notes on deep learning
  ☆124Updated 7 years ago
• napsternxg / pytorch-practice
  Some example scripts on pytorch
  ☆198Updated 3 years ago
• wiseodd / probabilistic-models
  Collection of probabilistic models and inference algorithms
  ☆241Updated 5 years ago
• NathanEpstein / pydata-reinforce
  code for pydata madrid presentation
  ☆53Updated 8 years ago
• 2wavetech / Probabilistic-Graphical-Model
  This repository contains my implementation of the programming assignments of Probabilistic Graphical Models delivered by Stanford Univers…
  ☆34Updated 7 years ago
• AI-ON / Multitask-and-Transfer-Learning
  Benchmark and build RL architectures that can do multitask and transfer learning.
  ☆142Updated 2 years ago
• blei-lab / deep-exponential-families
  Deep exponential families (DEFs)
  ☆55Updated 7 years ago
• ReactiveCJ / BayesianLearning
  Bayesian Machine Learning
  ☆207Updated 2 years ago
• 0bserver07 / Study-Reinforcement-Learning
  Studying Reinforcement Learning Guide
  ☆151Updated 7 years ago
• robi56 / awesome-bayesian-deep-learning
  A curated list of resources dedicated to bayesian deep learning
  ☆415Updated 8 years ago
• ajtulloch / Elements-of-Statistical-Learning
  Contains LaTeX, SciPy and R code providing solutions to exercises in Elements of Statistical Learning (Hastie, Tibshirani & Friedman)
  ☆290Updated 11 years ago
• stats385 / stats385.github.io
  STATS385 course website
  ☆89Updated 2 years ago
• fcrimins / fcrimins.github.io
  ☆92Updated 9 years ago
• datajunkie007 / cs228
  Programming assignments for the class
  ☆23Updated 13 years ago
• spitis / r2rt
  My ML/AI blog
  ☆36Updated 9 years ago
• txizzle / drl
  Deep RL Algorithms implemented for UC Berkeley's CS 294-112: Deep Reinforcement Learning
  ☆140Updated 7 years ago
• rmgarnett / cse515t
  Materials for Bayesian Methods in Machine Learning Course
  ☆88Updated 5 months ago
• leelabcnbc / book-notes
  a bunch of notes about machine learning, image statistics, theoretical neuroscience, etc.
  ☆47Updated 6 years ago
• uvadlc / uvadlc_practicals_2016
  Repository for practical assignments for UvA Deep Learning Course 2016
  ☆51Updated 7 years ago
• xinlin192 / GraphicalModel
  Courera Version of Graphical Model.. Cooperate with Jian Guo.
  ☆122Updated 8 years ago
• oduerr / dl_tutorial
  Tutorials for deep learning
  ☆253Updated 6 years ago