Alternatives and similar repositories for ML_uncertainty_quantification:

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

• aterenin / SparseGaussianProcesses.jl
  A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.
  ☆33Updated 4 years ago
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 3 years ago
• AaltoPML / spatiotemporal-graph-kernels
  The official implementation of Non-separable Spatio-temporal Graph Kernels via SPDEs.
  ☆16Updated 2 years ago
• betanalpha / quarto_chapters
  Book Chapter Drafts
  ☆29Updated 6 months ago
• gpschool / gpss20
  Gaussian Process and Uncertainty Quantification Summer School 2020
  ☆33Updated 2 years ago
• aki-nishimura / discontinuous-hmc
  "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu
  ☆27Updated 6 years ago
• MLGlobalHealth / pi-vae
  Code for utilising VAE as means of doing exact MCMC inference in complex high-dimensional space
  ☆14Updated last year
• mmider / BridgeSDEInference.jl
  Inference for diffusion processes with the use of `Guided Proposals`
  ☆16Updated 4 years ago
• TuringLang / papers
  A Bayesian zoo
  ☆15Updated 3 weeks ago
• jpiironen / dimreduce
  ☆8Updated 4 years ago
• jgorham / SteinDiscrepancy.jl
  Practical tools for quantifying how well a sample approximates a target distribution
  ☆27Updated 4 years ago
• aidanscannell / GPJax
  Minimal Gaussian process library in JAX with a simple (custom) approach to state management.
  ☆11Updated last year
• edfong / conformal_bayes
  Conformal Bayes with importance sampling
  ☆19Updated 3 years ago
• onnela-lab / gptools
  Gaussian processes on graphs and lattices in Stan.
  ☆16Updated last week
• elizavetasemenova / EmbracingUncertainty
  Material for AMLD 2020 workshop "Bayesian Inference: embracing uncertainty"
  ☆30Updated 2 years ago
• elizavetasemenova / gp_turing
  ☆14Updated 4 years ago
• darrenjw / logreg
  Bayesian inference for a logistic regression model in various languages
  ☆42Updated last year
• jhuggins / viabel
  Efficient, lightweight variational inference and approximation bounds
  ☆43Updated last year
• pyro-ppl / pyroed
  Bayesian optimization of discrete sequences
  ☆20Updated 2 years ago
• elizavetasemenova / PriorVAE
  Code of PriorVAE: encoding spatial priors with variational autoencoders
  ☆12Updated last year
• ciemss / pyciemss
  Causal and probabilistic reasoning with continuous time dynamical systems
  ☆17Updated this week
• BigBayes / BNPMix.jl
  Bayesian Nonparametric Mixture Models in Julia
  ☆14Updated 7 years ago
• LuZhangstat / Pathfinder
  ☆22Updated 2 years ago
• richardkwo / InvariantCausal.jl
  Causal Inference with Invariant Prediction
  ☆25Updated 4 years ago
• abhiagwl / vistan
  A simple library to run variational inference on Stan models.
  ☆30Updated last year
• StannisZhou / mixed_hmc
  ☆12Updated 3 years ago
• devmotion / CalibrationErrors.jl
  Estimation of calibration errors.
  ☆15Updated 9 months ago
• YunyiShen / weird-posteriors
  Posterior with interesting shapes from actually used models
  ☆12Updated last month
• wesselb / lab
  A generic interface for linear algebra backends
  ☆71Updated 3 weeks ago
• cambridge-mlg / sgd-gp
  Public code for running Stochastic Gradient Descent on GPs.
  ☆36Updated 4 months ago