Alternatives and similar repositories for msp-poster-package

Users that are interested in msp-poster-package are comparing it to the libraries listed below

• Simon-Lacoste-Julien / linearFW
  Frank-Wolfe optimization variants with a linear convergence rate
  ☆22Updated 9 years ago
• jaanli / jaan.io
  A Retina-ready Jekyll-powered blog with responsiveness, SEO, etc.; up at https://jaan.io
  ☆56Updated last year
• matt-graham / phd-thesis
  Auxiliary variable Markov chain Monte Carlo methods
  ☆10Updated 7 years ago
• sailinglab / pgm-spring-2019
  Course webpage for PGM, Spring 2019.
  ☆76Updated 4 years ago
• duvenaud / herding-paper
  Optimally-weighted herding is Bayesian Quadrature
  ☆16Updated 8 years ago
• juancamilog / ca-experiments
  experiments with cellular automata
  ☆11Updated 6 years ago
• VBayesLab / VBLab
  Official documentation
  ☆30Updated 4 years ago
• hoonose / robust-filter
  [ICML 2017] Robust estimation of mean and covariance in high dimensions
  ☆33Updated 4 years ago
• Pseudomanifold / latex-cv
  A simple and modern template for your [academic] CV
  ☆55Updated last year
• krislock / ExpVecEDM
  MATLAB code for solving the Euclidean Distance Matrix completion problem.
  ☆10Updated 7 years ago
• dnouri / gnumpy
  A distutils package for gnumpy and npmat
  ☆19Updated 7 years ago
• fabianp / overview_optalgs
  ☆30Updated 4 years ago
• AaltoML / IHGP
  Infinite-horizon Gaussian processes
  ☆33Updated 4 years ago
• vsmolyakov / DP_means
  Dirichlet Process K-means
  ☆48Updated last year
• duvenaud / harlemcmc-shake
  Code to produce demos of Metroplis-Hastings and Hamiltonian Monte Carlo samplers.
  ☆36Updated 11 years ago
• philipphennig / probabilistic-numerics.org
  This repository houses the code for the community website http://www.probabilistic-numerics.org
  ☆35Updated 5 years ago
• mijungi / lllvm
  ☆16Updated 9 years ago
• rfeinman / pyBPL
  Python implementation of Bayesian Program Learning tools (with PyTorch)
  ☆72Updated 3 years ago
• jluttine / variational-bayes-book
  Open access book on variational Bayesian methods written collaboratively
  ☆28Updated 10 years ago
• offconvex / offconvex.github.io
  Off the convex path
  ☆67Updated 2 years ago
• distillpub / post--visual-exploration-gaussian-processes
  A Visual Exploration of Gaussian Processes
  ☆102Updated 2 years ago
• PrincetonLIPS / randomized_telescopes
  Code for "Efficient optimization of loops and limits with randomized telescoping sums"
  ☆27Updated 6 years ago
• Sohl-Dickstein / LAHMC
  Look Ahead Hamiltonian Monte Carlo
  ☆30Updated 10 years ago
• rfeinman / learning-to-learn
  Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).
  ☆22Updated 6 years ago
• academicbio / academic-minima
  A simple, minimal Jekyll theme for an academic website based on the minima theme
  ☆28Updated 3 years ago
• Sohl-Dickstein / Minimum-Probability-Flow-Learning
  Matlab code implementing Minimum Probability Flow Learning.
  ☆69Updated 10 years ago
• probml / pmtksupport
  Various packages used by PMTK.
  ☆55Updated 5 years ago
• duvenaud / deep-limits
  Repo for a paper about constructing priors on very deep models.
  ☆73Updated 8 years ago
• simomarsili / ndd
  Bayesian entropy estimation in Python - via the Nemenman-Schafee-Bialek algorithm
  ☆51Updated 4 years ago
• dmsl / academic-responsive-template
  Academic Responsive (AR) Website Template
  ☆148Updated 2 years ago