Alternatives and similar repositories for LaplaceAE:

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

• noamroze / moser_flow
  ☆16Updated 3 years ago
• cunningham-lab / igr
  ☆31Updated 4 years ago
• martius-lab / beta-nll
  beta-NLL introduced in our paper "On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks" ICLR 2022
  ☆41Updated 2 years ago
• yliess86 / BayeFormers
  General API for Deep Bayesian Variational Inference by Backpropagation. The repository has been designed to work with Transformers like a…
  ☆42Updated 4 years ago
• samuelepapa / fit-a-nef
  🚀 A powerful library for efficient training of Neural Fields at scale.
  ☆28Updated last year
• DLR-RM / curvature
  Official Code: Estimating Model Uncertainty of Neural Networks in Sparse Information Form, ICML2020.
  ☆30Updated 4 years ago
• EmoryMLIP / OT-Flow
  PyTorch implementation of the OT-Flow approach in arXiv:2006.00104
  ☆51Updated 7 months ago
• siplab-gt / VAELLS
  Code for "Variational Autoencoder with Learned Latent Structure"
  ☆33Updated 4 years ago
• hmdolatabadi / LRS_NF
  [AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".
  ☆20Updated last year
• Sanaelotfi / Bayesian_model_comparison
  Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".
  ☆35Updated 2 years ago
• LituRout / OptimalTransportModeling
  Generative Modeling with Optimal Transport Maps - ICLR 2022
  ☆58Updated 2 years ago
• bobby-he / bayesian-ntk
  Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'
  ☆27Updated 4 years ago
• MichaelArbel / GeneralizedEBM
  ☆53Updated 7 months ago
• izmailovpavel / bnn_covariate_shift
  Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"
  ☆33Updated 2 years ago
• chenlin9 / Gaussianization_Flows
  ☆22Updated 4 years ago
• NVlabs / VAEBM
  The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…
  ☆54Updated 2 years ago
• jrmcornish / cif
  PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows
  ☆31Updated 3 years ago
• federicobergamin / riemannian-laplace-approximation
  Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"
  ☆11Updated last year
• boschresearch / GMM_DAE
  ☆20Updated 3 years ago
• vislearn / IB-INN
  Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)
  ☆43Updated 10 months ago
• ruiqigao / recovery_likelihood
  ☆49Updated 4 years ago
• MJ10 / DEUP
  Code for experiments to learn uncertainty
  ☆30Updated 2 years ago
• vdeborto / cdsb
  ☆23Updated 2 years ago
• ehoogeboom / convolution_exponential_and_sylvester
  ☆28Updated 3 years ago
• yogeshbalaji / robustOT
  Robust Optimal Transport code
  ☆42Updated 2 years ago
• yperugachidiaz / invertible_densenets
  ☆24Updated 4 years ago
• vislearn / FFF
  Free-form flows are a generative model training a pair of neural networks via maximum likelihood
  ☆40Updated last month
• dwromero / g_selfatt
  Code repository for the paper "Group Equivariant Stand-Alone Self Attention For Vision" published at ICLR 2021. https://openreview.net/fo…
  ☆29Updated 4 years ago
• fregu856 / regression_uncertainty
  Official implementation of "How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?", TMLR 2023.
  ☆18Updated 11 months ago
• ermongroup / alignflow
  ☆32Updated 5 years ago