Alternatives and similar repositories for ML_uncertainty_quantification

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

• AaltoPML / spatiotemporal-graph-kernels
  The official implementation of Non-separable Spatio-temporal Graph Kernels via SPDEs.
  ☆16Updated 3 years ago
• jg-you / complex-coinfection-inference
  Bayesian inference of effective contagion models from population level data, with STAN
  ☆14Updated 5 years ago
• elizavetasemenova / EmbracingUncertainty
  Material for AMLD 2020 workshop "Bayesian Inference: embracing uncertainty"
  ☆30Updated 3 years ago
• aki-nishimura / discontinuous-hmc
  "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu
  ☆29Updated 7 years ago
• gpschool / gpss20
  Gaussian Process and Uncertainty Quantification Summer School 2020
  ☆33Updated 2 years ago
• aterenin / SparseGaussianProcesses.jl
  A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.
  ☆33Updated 5 years ago
• elizavetasemenova / gp_turing
  ☆15Updated 4 years ago
• edfong / conformal_bayes
  Conformal Bayes with importance sampling
  ☆23Updated 4 years ago
• MLGlobalHealth / pi-vae
  Code for utilising VAE as means of doing exact MCMC inference in complex high-dimensional space
  ☆14Updated 2 years ago
• onnela-lab / gptools
  Gaussian processes on graphs and lattices in Stan.
  ☆18Updated 8 months ago
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 4 years ago
• darrenjw / logreg
  Bayesian inference for a logistic regression model in various languages
  ☆43Updated 2 years ago
• abhiagwl / vistan
  A simple library to run variational inference on Stan models.
  ☆33Updated 2 years ago
• LuZhangstat / Pathfinder
  ☆24Updated 3 years ago
• dkaschek / dMod
  Dynamic modeling and parameter estimation in R
  ☆22Updated 9 months ago
• jgorham / SteinDiscrepancy.jl
  Practical tools for quantifying how well a sample approximates a target distribution
  ☆28Updated 5 years ago
• teddygroves / bibat
  A batteries-included template for Bayesian data analysis projects
  ☆22Updated last year
• alisaab / l0bnb
  Solves the best subset selection problem
  ☆45Updated 3 years ago
• facebookresearch / RidgeSketch
  A Fast sketching based solver for large scale ridge regression
  ☆17Updated last year
• StannisZhou / mixed_hmc
  ☆12Updated 3 years ago
• vr308 / Generalised-Gaussian-Processes
  Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods
  ☆22Updated 2 years ago
• bernarditaried / ZigZag-Sampling-Tutorial
  This tutorial is a basic guide to understanding the Zig-Zag Sampling method. This document is released with the aim of diffusion and shar…
  ☆22Updated 6 years ago
• chris-nemeth / sgmcmc-review-paper
  The code in this repository follows the paper "Stochastic gradient MCMC"
  ☆26Updated 6 years ago
• pierrejacob / couplingsmontecarlo
  some scripts for the couplings enthusiasts!
  ☆32Updated 5 years ago
• osqp / osqp-r
  R interface for OSQP
  ☆13Updated last year
• mmider / BridgeSDEInference.jl
  Inference for diffusion processes with the use of `Guided Proposals`
  ☆16Updated 5 years ago
• luiarthur / TuringBnpBenchmarks
  Benchmarks of Bayesian Nonparametric models in Turing and other PPLs
  ☆28Updated last year
• ciemss / pyciemss
  Causal and probabilistic reasoning with continuous time dynamical systems
  ☆19Updated 3 months ago
• metrumresearchgroup / BayesPBPK-tutorial
  ☆16Updated 3 years ago
• ahmedmalaa / Symbolic-Metamodeling
  Codebase for "Demystifying Black-box Models with Symbolic Metamodels", NeurIPS 2019.
  ☆52Updated 6 years ago