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    15 repositories

    • team-approx-bayes.github.io

      Public
      Code for team webpage
      HTML
      •1•0•0•1•Updated Sep 4, 2025Sep 4, 2025

    • lmd

      Public
      MIT License
      •0•1•0•0•Updated Jul 7, 2025Jul 7, 2025

    • bayes-admm

      Public
      Python
      •
      GNU General Public License v3.0
      •0•1•0•0•Updated Jun 17, 2025Jun 17, 2025

    • ivon-lora

      Public
      Python
      •1•9•0•0•Updated Nov 25, 2024Nov 25, 2024

    • ivon

      Public
      IVON optimizer for neural networks based on variational learning.
      pythondeep-learningoptimizerpytorchvariational-inferenceoptimization-algorithms
      Python
      •
      GNU General Public License v3.0
      •8•72•5•2•Updated Nov 7, 2024Nov 7, 2024

    • ivon-experiments

      Public
      Python
      •
      GNU General Public License v3.0
      •0•10•1•0•Updated Jul 4, 2024Jul 4, 2024

    • memory-perturbation

      Public
      Code for "The Memory Perturbation Equation: Understanding Model’s Sensitivity to Data", NeurIPS 2023.
      Python
      •
      MIT License
      •1•10•0•1•Updated Apr 29, 2024Apr 29, 2024

    • ewc-fr-replay

      Public
      Code for “Improving Continual Learning by Accurate Gradient Reconstructions of the Past”, TMLR 2023.
      Python
      •1•2•0•0•Updated Apr 15, 2024Apr 15, 2024

    • liegroups

      Public
      Code for "The Lie-Group Bayesian Learning Rule", AISTATS 2023.
      Python
      •
      GNU General Public License v3.0
      •1•7•0•0•Updated Nov 7, 2023Nov 7, 2023

    • bayesian-sam

      Public
      Code for "SAM as an Optimal Relaxation of Bayes", ICLR 2023.
      Python
      •
      GNU General Public License v3.0
      •1•25•2•0•Updated Jul 21, 2023Jul 21, 2023

    • kpriors

      Public
      Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.
      Python
      •
      GNU General Public License v3.0
      •2•16•0•0•Updated Feb 1, 2022Feb 1, 2022

    • BayesBiNN

      Public
      Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule
      Jupyter Notebook
      •5•39•2•0•Updated Jan 4, 2022Jan 4, 2022

    • fromp

      Public
      Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"
      Python
      •7•44•1•0•Updated Nov 10, 2020Nov 10, 2020

    • dnn2gp

      Public
      Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)
      Python
      •4•48•0•0•Updated Dec 17, 2019Dec 17, 2019

    • dl-with-bayes

      Public
      Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"
      Python
      •23•245•6•0•Updated Dec 3, 2019Dec 3, 2019