Alternatives and similar repositories for pgm-spring-2019

Users that are interested in pgm-spring-2019 are comparing it to the libraries listed below

• yousuketakada / prml_errata
  More PRML Errata
  ☆81Updated 3 years ago
• tu-rbo / differentiable-particle-filters
  Source code and data for the paper "Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors"
  ☆187Updated 2 years ago
• danbar / fglib
  factor graph library
  ☆69Updated 6 years ago
• st-- / interactive-gp-visualization
  Interactive visualization of Gaussian processes
  ☆176Updated 2 years ago
• hoonose / robust-filter
  [ICML 2017] Robust estimation of mean and covariance in high dimensions
  ☆33Updated 5 years ago
• probml / pmtksupport
  Various packages used by PMTK.
  ☆56Updated 6 years ago
• distillpub / post--visual-exploration-gaussian-processes
  A Visual Exploration of Gaussian Processes
  ☆106Updated 2 years ago
• ritchieng / eigenvectors-from-eigenvalues
  PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.
  ☆98Updated 4 years ago
• paulorauber / pgm
  Probabilistic graphical models in python
  ☆24Updated 6 years ago
• mblondel / teaching
  ☆85Updated 5 years ago
• vsmolyakov / DP_means
  Dirichlet Process K-means
  ☆48Updated last year
• niaohe / Convex-Optimization-Course
  Repository for my convex optimization course.
  ☆53Updated 4 years ago
• Feryal / rl_mlss_2020
  ☆53Updated 5 years ago
• rdlester / pyfac
  Python implementation of Sum-Product for Factor Graphs
  ☆44Updated 9 years ago
• leopd / geometric-intuition
  Understanding ML and deep learning through geometry
  ☆157Updated 3 years ago
• udellgroup / orie7191
  Materials for ORIE 7191: Topics in Optimization for Machine Learning
  ☆45Updated 6 years ago
• NicolasDurrande / Gaussian-Process-Regression-handout
  ☆41Updated 9 years ago
• VBayesLab / VBLab
  Official documentation
  ☆31Updated 4 years ago
• DanielTakeshi / MCMC_and_Dynamics
  Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)
  ☆42Updated 5 years ago
• mlss-2019 / slides
  ☆260Updated 6 years ago
• JeanKossaifi / caltech-tutorial
  Material for my Caltech tutorial on deep learning and tensor methods
  ☆70Updated 7 years ago
• oxcsml / ML_bazaar
  OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.
  ☆94Updated 4 years ago
• AaltoML / IHGP
  Infinite-horizon Gaussian processes
  ☆33Updated 5 years ago
• jerkern / pyParticleEst
  Python Library for Particle based estimation methods
  ☆63Updated 7 years ago
• Pronto-ai / optorch
  Nonlinear solver backend for PyTorch
  ☆68Updated 6 years ago
• kevinzakka / learn-linalg
  Learning some numerical linear algebra.
  ☆71Updated 4 years ago
• mebden / GPtutorial
  Matlab code for the introduction to Gaussian processes, 2008
  ☆30Updated 10 years ago
• dobriban / Topics-in-deep-learning
  Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)
  ☆94Updated 2 years ago
• montrealrobotics / dal
  Repository for Deep Active Localization research and benchmarks
  ☆36Updated 5 years ago
• ibramjub / Fast-and-Accurate-Least-Mean-Squares-Solvers
  Implementation of the algorithms presented in the paper "Fast and Accurate Least-Mean-Squares Solvers".
  ☆77Updated 5 years ago