Alternatives and similar repositories for ConcreteDropout

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

• TyXe-BDL / TyXe
  ☆151Updated 2 years ago
• TorchUQ / torchuq
  A library for uncertainty quantification based on PyTorch
  ☆121Updated 3 years ago
• cooper-org / cooper
  A general-purpose, deep learning-first library for constrained optimization in PyTorch
  ☆136Updated 2 months ago
• runame / laplace-redux
  Laplace Redux -- Effortless Bayesian Deep Learning
  ☆42Updated 2 months ago
• ratschlab / bnn_priors
  Code for the paper "Bayesian Neural Network Priors Revisited"
  ☆57Updated 4 years ago
• VectorInstitute / vbll
  Simple (and cheap!) neural network uncertainty estimation
  ☆68Updated 2 months ago
• microsoft / bayesianize
  Bayesianize: A Bayesian neural network wrapper in pytorch
  ☆88Updated last year
• aradha / recursive_feature_machines
  ☆56Updated 4 months ago
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆130Updated last year
• willieneis / bayesian-algorithm-execution
  Bayesian algorithm execution (BAX)
  ☆50Updated 3 years ago
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆84Updated last year
• google-deepmind / conformal_training
  This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…
  ☆130Updated 2 years ago
• JeremiasKnoblauch / GVIPublic
  Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)
  ☆20Updated 6 years ago
• karalets / TyXe
  Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)
  ☆42Updated 3 years ago
• google-research / hyperbo
  Pre-trained Gaussian processes for Bayesian optimization
  ☆94Updated 3 months ago
• facebookresearch / bo_pr
  Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization
  ☆73Updated 2 years ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆104Updated last year
• scikit-learn-contrib / scikit-dimension
  A Python package for intrinsic dimension estimation
  ☆92Updated 3 months ago
• google-deepmind / annealed_flow_transport
  ☆52Updated 2 years ago
• openopt / chop
  CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.
  ☆78Updated last year
• adrianjav / heterogeneous_vaes
  Pytorch implementation of VAEs for heterogeneous likelihoods.
  ☆42Updated 2 years ago
• izmailovpavel / understandingbdl
  ☆241Updated 2 years ago
• clarafy / conformal-for-design
  ☆29Updated 2 years ago
• runame / laplace-refinement
  Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks
  ☆10Updated 2 years ago
• spbu-math-cs / Graph-Gaussian-Processes
  Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".
  ☆53Updated 6 months ago
• cambridge-mlg / DUN
  Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
  ☆76Updated last year
• VincentStimper / resampled-base-flows
  Normalizing Flows with a resampled base distribution
  ☆47Updated 2 years ago
• j-wilson / GPflowSampling
  Code for efficiently sampling functions from GP(flow) posteriors
  ☆72Updated 4 years ago
• FalkonML / falkon
  Large-scale, multi-GPU capable, kernel solver
  ☆190Updated 3 weeks ago
• rajesh-lab / deep_permutation_invariant
  Code accompanying paper "Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets."
  ☆27Updated 2 years ago