Alternatives and similar repositories for torch-mvnorm

Users that are interested in torch-mvnorm are comparing it to the libraries listed below

• DartML / Stein-Variational-Gradient-Descent
  code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"
  ☆101Updated 6 years ago
• treforevans / uci_datasets
  Regression datasets from the UCI repository with standardized test-train splits.
  ☆52Updated 3 years ago
• automl / pybnn
  Bayesian neural network package
  ☆156Updated 4 years ago
• YannDubs / Neural-Process-Family
  Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.
  ☆228Updated last year
• benrhodes26 / tre_code
  ☆24Updated 4 years ago
• kirthevasank / mf-gp-ucb
  Multi-fidelity Gaussian Process Bandit Optimisation
  ☆39Updated 9 years ago
• uber-research / TuRBO
  ☆221Updated last year
• yucenli / bnn-bo
  Bayesian Neural Network Surrogates for Bayesian Optimization
  ☆67Updated last year
• ksehic / LassoBench
  Benchmark library for high-dimensional HPO of black-box models based on Weighted Lasso regression
  ☆15Updated 3 years ago
• brain-research / nngp
  Deep neural network kernel for Gaussian process
  ☆212Updated 5 years ago
• machinelearningnuremberg / HPO-B
  [NeurIPS DBT 2021] HPO-B
  ☆41Updated 3 months ago
• belakaria / MESMO
  Python implementation of the Max-value Entropy Search for Multi-Objective Bayesian Optimization method
  ☆27Updated 7 months ago
• hichamjanati / srf
  Random Fourier Features
  ☆50Updated 8 years ago
• AdamCobb / hamiltorch
  PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
  ☆465Updated last year
• benchopt / benchmark_bilevel
  Benchmark for bi-level optimization solvers
  ☆50Updated 8 months ago
• nhartland / KL-divergence-estimators
  Testing methods for estimating KL-divergence from samples.
  ☆70Updated last month
• zi-w / Max-value-Entropy-Search
  Max-value Entropy Search for Efficient Bayesian Optimization
  ☆80Updated 3 years ago
• Tom271 / LangevinMC
  MIGSAA Project 2 - Langevin Monte Carlo Algorithms
  ☆15Updated 2 years ago
• TyXe-BDL / TyXe
  ☆156Updated 3 years ago
• AWehenkel / UMNN
  Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for mod…
  ☆126Updated 2 months ago
• SheffieldML / PyDeepGP
  Deep Gaussian Processes in Python
  ☆236Updated 4 years ago
• secondmind-labs / GPflux
  Deep GPs built on top of TensorFlow/Keras and GPflow
  ☆128Updated last year
• TeaPearce / Bayesian_NN_Ensembles
  AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'
  ☆90Updated 5 years ago
• automl / PFNs4BO
  The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization
  ☆39Updated 4 months ago
• pmorenoz / HetMOGP
  Heterogeneous Multi-output Gaussian Processes
  ☆54Updated 5 years ago
• martinjankowiak / saasbo
  SAASBO: a package for high-dimensional bayesian optimization
  ☆51Updated 4 years ago
• fusion-ml / OCBO
  Offline Contextual Bayesian Optimization
  ☆14Updated 2 years ago
• xingchenwan / Casmopolitan
  [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces
  ☆34Updated 3 years ago
• alisiahkoohi / Langevin-dynamics
  Sampling with gradient-based Markov Chain Monte Carlo approaches
  ☆109Updated last year
• fbickfordsmith / epig
  Bayesian active learning with EPIG data acquisition
  ☆36Updated 5 months ago