Alternatives and similar repositories for Variational-LLA

Users that are interested in Variational-LLA are comparing it to the libraries listed below

• Franblueee / torchmil
  Deep Multiple Instance Learning library for Pytorch
  ☆49Updated 2 weeks ago
• antcc / mcd
  Prácticas y proyectos del Máster en Ciencia de Datos de la UAM.
  ☆10Updated 2 years ago
• PGM-Lab / 2023-ProbAI
  Repo for the Tutorials of Day1-Day2 of the Nordic Probabilistic AI School 2023
  ☆17Updated 2 years ago
• cbg-ethz / bmi
  Mutual information estimators and benchmark
  ☆50Updated 5 months ago
• AaltoML / sequential-gp
  Code for 'Memory-based dual Gaussian processes for sequential learning' (ICML 2023)
  ☆12Updated last year
• jonasrothfuss / f-pacoh-torch
  ☆9Updated 3 years ago
• fbickfordsmith / epig
  Bayesian active learning with EPIG data acquisition
  ☆32Updated 2 months ago
• chenw20 / SGPA
  Example code of Sparse Gaussian Process Attention (ICLR 2023)
  ☆24Updated 11 months ago
• pedrobn23 / bachelor-thesis
  Repository for my Bachelor's Thesis about the SAT problem.
  ☆10Updated 3 years ago
• bobby-he / bayesian-ntk
  Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'
  ☆26Updated 4 years ago
• aleximmer / BNN-predictions
  Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021
  ☆16Updated 2 years ago
• tranbahien / you-need-a-good-prior
  All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)
  ☆20Updated 3 years ago
• izmailovpavel / bnn_covariate_shift
  Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"
  ☆33Updated 2 years ago
• activatedgeek / understanding-bayesian-classification
  On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification
  ☆21Updated 3 years ago
• team-approx-bayes / ivon
  IVON optimizer for neural networks based on variational learning.
  ☆68Updated 7 months ago
• PetrMokrov / Large-Scale-Wasserstein-Gradient-Flows
  Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)
  ☆32Updated 3 years ago
• volagold / fce-2d
  Flow Contrastive Estimation (FCE) PyTorch Implementation on 2D data
  ☆11Updated 3 years ago
• f-dangel / curvlinops
  PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)
  ☆40Updated 2 months ago
• akuhren / selective_gp
  Code accompanying the paper "Probabilistic Selection of Inducing Points in Sparse Gaussian Processes".
  ☆25Updated 2 years ago
• timrudner / S-FSVI
  Code for the paper 'Continual Learning via Sequential Function-Space Variational Inference'
  ☆24Updated 2 years ago
• edwisdom / bnn-hmc
  Bayesian neural nets trained with Hamiltonian Monte Carlo
  ☆10Updated 6 years ago
• runame / laplace-refinement
  Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks
  ☆10Updated 2 years ago
• glorelvalle / socialhaterbert
  SocialHaterBERT: a dichotomous approach for automatically detecting hate speech on Twitter through textual analysis and user profiles
  ☆9Updated 2 years ago
• acerbilab / amortized-conditioning-engine
  Amortized Probabilistic Conditioning for Optimization, Simulation and Inference (Chang et al., AISTATS 2025)
  ☆16Updated 2 months ago
• konstantinos-p / Bayesian-Neural-Networks-Reading-List
  A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesi…
  ☆52Updated last year
• nickruggeri / CLAP-interpretable-predictions
  Official codebase for the paper "Provable concept learning for interpretable predictions using variational inference".
  ☆14Updated 3 years ago
• alisiahkoohi / Langevin-dynamics
  Sampling with gradient-based Markov Chain Monte Carlo approaches
  ☆103Updated last year
• dngfra / repulsive_ensembles
  Repo for our paper "Repulsive deep ensembles are Bayesian"
  ☆19Updated 3 years ago
• AndreevP / FRCL
  Functional Regularisation for Continual Learning with Gaussian Processes
  ☆14Updated 4 years ago
• Feuermagier / Beyond_Deep_Ensembles
  Code for the paper "Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift"
  ☆22Updated last year