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    • Code for team webpage
      HTML
      1001Updated Apr 6, 2026Apr 6, 2026
    • Python
      GNU General Public License v3.0
      0400Updated Mar 6, 2026Mar 6, 2026
    • Jupyter Notebook
      0000Updated Feb 8, 2026Feb 8, 2026
    • lmd

      Public
      MIT License
      0100Updated Jul 7, 2025Jul 7, 2025
    • ivon-lora

      Public
      Python
      01000Updated Nov 25, 2024Nov 25, 2024
    • ivon

      Public
      IVON optimizer for neural networks based on variational learning.
      Python
      GNU General Public License v3.0
      98262Updated Nov 7, 2024Nov 7, 2024
    • Python
      GNU General Public License v3.0
      11210Updated Jul 4, 2024Jul 4, 2024
    • Code for "The Memory Perturbation Equation: Understanding Model’s Sensitivity to Data", NeurIPS 2023.
      Python
      MIT License
      21001Updated Apr 29, 2024Apr 29, 2024
    • Code for “Improving Continual Learning by Accurate Gradient Reconstructions of the Past”, TMLR 2023.
      Python
      1200Updated Apr 15, 2024Apr 15, 2024
    • liegroups

      Public
      Code for "The Lie-Group Bayesian Learning Rule", AISTATS 2023.
      Python
      GNU General Public License v3.0
      1700Updated Nov 7, 2023Nov 7, 2023
    • Code for "SAM as an Optimal Relaxation of Bayes", ICLR 2023.
      Python
      GNU General Public License v3.0
      12610Updated 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
      21700Updated Feb 1, 2022Feb 1, 2022
    • BayesBiNN

      Public
      Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule
      Jupyter Notebook
      64120Updated 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
      74410Updated Nov 10, 2020Nov 10, 2020
    • dnn2gp

      Public
      Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)
      Python
      44800Updated Dec 17, 2019Dec 17, 2019
    • Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"
      Python
      2324860Updated Dec 3, 2019Dec 3, 2019
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