Alternatives and similar repositories for BooVAE

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

• ermongroup / smile-mi-estimator
  PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"
  ☆75Updated 5 years ago
• sharpenb / Posterior-Network
  Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)
  ☆78Updated 3 years ago
• kimiandj / gsw
  ☆41Updated 5 years ago
• gtegner / mine-pytorch
  Mutual Information Neural Estimation in Pytorch
  ☆336Updated 11 months ago
• y0ast / DUE
  Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".
  ☆112Updated 3 years ago
• addtt / ladder-vae-pytorch
  Ladder Variational Autoencoders (LVAE) in PyTorch
  ☆92Updated 5 years ago
• AMLab-Amsterdam / DIVA
  Implementation of 'DIVA: Domain Invariant Variational Autoencoders'
  ☆103Updated 5 years ago
• Landmine598 / OT-DA
  ☆14Updated 5 years ago
• zalanborsos / bilevel_coresets
  Coresets via Bilevel Optimization
  ☆66Updated 4 years ago
• KaosEngineer / PriorNetworks
  ☆66Updated 5 years ago
• siamakz / iVAE
  VAEs and nonlinear ICA: a unifying framework
  ☆47Updated 6 years ago
• SashaMalysheva / Pytorch-VAE
  This is an implementation of the VAE (Variational Autoencoder) for Cifar10
  ☆73Updated 3 years ago
• makezur / information_bottleneck_pytorch
  Project for the Large Scale Optimization course at Skoltech
  ☆23Updated 6 years ago
• 1Konny / VIB-pytorch
  Pytorch implementation of Deep Variational Information Bottleneck
  ☆200Updated 7 years ago
• nvcuong / variational-continual-learning
  Implementation of the variational continual learning method
  ☆193Updated 6 years ago
• namratadeka / circe
  Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)
  ☆21Updated 2 years ago
• alexalemi / vib_demo
  ☆91Updated 3 years ago
• zhouyiji / MIGE
  Mutual Information Gradient Estimation
  ☆12Updated 3 years ago
• ilkhem / icebeem
  Code for ICE-BeeM paper - NeurIPS 2020
  ☆87Updated 4 years ago
• PolinaKirichenko / flows_ood
  ☆88Updated 3 years ago
• MehdiAbbanaBennani / continual-learning-ogdplus
  Code for "Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent" (ICML 2020 - Lifelong Learning Workshop)
  ☆44Updated 2 years ago
• timrudner / S-FSVI
  Code for the paper 'Continual Learning via Sequential Function-Space Variational Inference'
  ☆24Updated 2 years ago
• chrhenning / hypercl
  Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fin…
  ☆164Updated 3 years ago
• BayesWatch / deep-kernel-transfer
  Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
  ☆205Updated 3 years ago
• bneyshabur / path-sgd
  Path-SGD: Path-Normalized Optimization in Deep Neural Networks
  ☆19Updated 6 years ago
• huaxiuyao / MLTI
  MLTI for ICLR 2022
  ☆30Updated 3 years ago
• eddardd / WBTransport
  (ICASSP'21/CVPR'21) Wasserstein Barycenter Transport
  ☆31Updated 3 years ago
• p-lambda / gradual_domain_adaptation
  ☆37Updated 4 years ago
• volagold / nce
  Noise Contrastive Estimation (NCE) in PyTorch
  ☆32Updated 6 months ago
• thuml / Domain-Adaptation-Regression
  Code release for Representation Subspace Distance for Domain Adaptation Regression (ICML 2021)
  ☆84Updated 3 years ago