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

• anhncs / Probabilistic-Graphical-Models
  Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.
  ☆104Updated 12 years ago
• inf16nyu / home
  ☆78Updated 8 years ago
• mila-iqia / summerschool2017
  Material for the Montréal Deep Learning Summer School 2017
  ☆77Updated 8 years ago
• tegg89 / Deep-tutorials
  A collection of tutorials from Deep Learning conferences.
  ☆32Updated 8 years ago
• djour / PyBRML
  Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning
  ☆163Updated 10 years ago
• napsternxg / pytorch-practice
  Some example scripts on pytorch
  ☆197Updated 3 years ago
• wiseodd / probabilistic-models
  Collection of probabilistic models and inference algorithms
  ☆241Updated 5 years ago
• jamt9000 / prml
  Some Jupyter notebooks based on Bishop's "Pattern Recognition and Machine Learning" book
  ☆76Updated 5 years ago
• ReactiveCJ / BayesianLearning
  Bayesian Machine Learning
  ☆209Updated 3 years ago
• thejakeyboy / umich-eecs545-lectures
  This repository contains the lecture materials for EECS 545, a graduate course in Machine Learning, at the University of Michigan, Ann Ar…
  ☆221Updated 8 years ago
• txizzle / drl
  Deep RL Algorithms implemented for UC Berkeley's CS 294-112: Deep Reinforcement Learning
  ☆141Updated 8 years ago
• kevin-keraudren / randomforest-python
  ☆58Updated 9 years ago
• edwardlib / papers
  Edward content including papers, posters, and talks
  ☆92Updated 4 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
  ☆417Updated 8 years ago
• NathanEpstein / pydata-reinforce
  code for pydata madrid presentation
  ☆53Updated 9 years ago
• fcrimins / fcrimins.github.io
  ☆92Updated 10 years ago
• awjuliani / oreilly-rl-tutorial
  Contains Jupyter notebooks associated with the "Deep Reinforcement Learning Tutorial" tutorial given at the O'Reilly 2017 NYC AI Conferen…
  ☆277Updated 5 years ago
• outlace / outlace.github.io
  Machine learning and data science blog.
  ☆69Updated 2 years ago
• AI-ON / Multitask-and-Transfer-Learning
  Benchmark and build RL architectures that can do multitask and transfer learning.
  ☆144Updated 2 years ago
• joanbruna / infrep17
  DS-GA-1005 Inference and Representation
  ☆15Updated 8 years ago
• geyang / deep_learning_notes
  a collection of my notes on deep learning
  ☆123Updated 8 years ago
• joanbruna / ir18
  Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18
  ☆67Updated 6 years ago
• xinlin192 / GraphicalModel
  Courera Version of Graphical Model.. Cooperate with Jian Guo.
  ☆122Updated 8 years ago
• sangwoomo / ml-resources
  Personal and biased selection of ML resources
  ☆151Updated 5 years ago
• oduerr / dl_tutorial
  Tutorials for deep learning
  ☆253Updated 7 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
• blei-lab / publications
  The pdf and LaTeX for each paper (and sometimes the code and data used to generate the figures).
  ☆72Updated 8 years ago
• stats385 / stats385.github.io
  STATS385 course website
  ☆89Updated 2 years ago
• AmazaspShumik / Mixture-Models
  Hierarchical Mixture of Experts,Mixture Density Neural Network
  ☆45Updated 8 years ago