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
• mblondel / teaching
  ☆85Updated 5 years ago
• tu-rbo / differentiable-particle-filters
  Source code and data for the paper "Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors"
  ☆189Updated 2 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
• probml / pmtksupport
  Various packages used by PMTK.
  ☆56Updated 6 years ago
• JeanKossaifi / caltech-tutorial
  Material for my Caltech tutorial on deep learning and tensor methods
  ☆70Updated 7 years ago
• vsmolyakov / DP_means
  Dirichlet Process K-means
  ☆48Updated last year
• udellgroup / orie7191
  Materials for ORIE 7191: Topics in Optimization for Machine Learning
  ☆45Updated 6 years ago
• paulorauber / pgm
  Probabilistic graphical models in python
  ☆24Updated 6 years ago
• Feryal / rl_mlss_2020
  ☆53Updated 5 years ago
• danbar / fglib
  factor graph library
  ☆69Updated 6 years ago
• niaohe / Convex-Optimization-Course
  Repository for my convex optimization course.
  ☆53Updated 4 years ago
• thegregyang / NNspectra
  Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube
  ☆47Updated 6 years ago
• sisl / AA120Q
  AA120Q Course Materials
  ☆29Updated 11 months ago
• st-- / interactive-gp-visualization
  Interactive visualization of Gaussian processes
  ☆176Updated 2 years ago
• sursu / Bayesian-Filtering
  Bayesian Filtering & Smoothing demos
  ☆19Updated 6 years ago
• oxcsml / ML_bazaar
  OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.
  ☆95Updated 4 years ago
• AaltoML / IHGP
  Infinite-horizon Gaussian processes
  ☆33Updated 5 years ago
• hoonose / robust-filter
  [ICML 2017] Robust estimation of mean and covariance in high dimensions
  ☆33Updated 5 years ago
• NicolasDurrande / Gaussian-Process-Regression-handout
  ☆41Updated 9 years ago
• ee227c / ee227c.github.io
  EE227C (Spring 2018) Course page
  ☆229Updated 4 years ago
• ghliu / mean-field-fcdnn
  ☆28Updated 6 years ago
• mlss-2019 / slides
  ☆260Updated 6 years ago
• ebekkers / gsplinets
  B-Spline CNNs on Lie groups
  ☆56Updated 5 years ago
• erichanslee / GP_Derivatives
  Scalable Gaussian Process Regression with Derivatives
  ☆38Updated 7 years ago
• leopd / geometric-intuition
  Understanding ML and deep learning through geometry
  ☆156Updated 3 years ago
• Pronto-ai / optorch
  Nonlinear solver backend for PyTorch
  ☆68Updated 6 years ago
• osqp / osqpth
  The differentiable OSQP solver layer for PyTorch
  ☆65Updated 3 years ago
• VBayesLab / VBLab
  Official documentation
  ☆31Updated 4 years ago