Alternatives and similar repositories for ML_uncertainty_quantification

Users that are interested in ML_uncertainty_quantification are comparing it to the libraries listed below

• elizavetasemenova / EmbracingUncertainty
  Material for AMLD 2020 workshop "Bayesian Inference: embracing uncertainty"
  ☆30Updated 3 years ago
• AaltoPML / spatiotemporal-graph-kernels
  The official implementation of Non-separable Spatio-temporal Graph Kernels via SPDEs.
  ☆16Updated 3 years ago
• onnela-lab / gptools
  Gaussian processes on graphs and lattices in Stan.
  ☆18Updated 5 months ago
• ciemss / pyciemss
  Causal and probabilistic reasoning with continuous time dynamical systems
  ☆19Updated last month
• jg-you / complex-coinfection-inference
  Bayesian inference of effective contagion models from population level data, with STAN
  ☆14Updated 4 years ago
• elizavetasemenova / gp_turing
  ☆15Updated 4 years ago
• dkaschek / dMod
  Dynamic modeling and parameter estimation in R
  ☆21Updated 5 months ago
• edfong / conformal_bayes
  Conformal Bayes with importance sampling
  ☆21Updated 3 years ago
• aki-nishimura / discontinuous-hmc
  "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu
  ☆28Updated 7 years ago
• pierrejacob / unbiasedmcmc
  Unbiased Markov chain Monte Carlo with couplings
  ☆30Updated 3 years ago
• pierrejacob / winference
  R package to perform statistical inference in generative models using the Wasserstein distance (requires CGAL)
  ☆28Updated 5 years ago
• metrumresearchgroup / BayesPBPK-tutorial
  ☆14Updated 2 years ago
• omaclaren / open-learning-material
  Some teaching material and other educational resources
  ☆41Updated this week
• darrenjw / logreg
  Bayesian inference for a logistic regression model in various languages
  ☆42Updated 2 years ago
• teddygroves / bibat
  A batteries-included template for Bayesian data analysis projects
  ☆22Updated last year
• MLGlobalHealth / pi-vae
  Code for utilising VAE as means of doing exact MCMC inference in complex high-dimensional space
  ☆14Updated 2 years ago
• hazimehh / L0Learn
  Efficient Algorithms for L0 Regularized Learning
  ☆102Updated last year
• gpschool / gpss20
  Gaussian Process and Uncertainty Quantification Summer School 2020
  ☆33Updated 2 years ago
• chris-nemeth / sgmcmc-review-paper
  The code in this repository follows the paper "Stochastic gradient MCMC"
  ☆26Updated 6 years ago
• jtimonen / odemodeling
  R-package for building and fitting Bayesian ODE models in Stan
  ☆28Updated 11 months ago
• aterenin / SparseGaussianProcesses.jl
  A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.
  ☆33Updated 5 years ago
• osqp / osqp-r
  R interface for OSQP
  ☆13Updated last year
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆72Updated last year
• Mirmu / ParalogMatching.jl
  The matching routine for interologs identification based on co-evolution
  ☆11Updated 7 years ago
• LuZhangstat / Pathfinder
  ☆23Updated 2 years ago
• skdeshpande91 / flexBART
  Towards a more flexible BART
  ☆22Updated last week
• facebookresearch / RidgeSketch
  A Fast sketching based solver for large scale ridge regression
  ☆17Updated last year
• evdoxiataka / ipme
  An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".
  ☆24Updated last year
• mgorinova / autoreparam
  Automatic Reparameterisation of Probabilistic Programs
  ☆36Updated 5 years ago
• OHDSI / bayes-bridge
  Bayesian sparse regression with regularized shrinkage and conjugate gradient acceleration
  ☆21Updated 3 months ago