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@bayesgroup

Bayesian Methods Research Group

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  1. deepbayes-2018 deepbayes-2018 Public

    Seminars DeepBayes Summer School 2018

    Jupyter Notebook 1k 273

  2. deepbayes-2019 deepbayes-2019 Public

    Practical assignments of the Deep|Bayes summer school 2019

    Jupyter Notebook 831 209

  3. variational-dropout-sparsifies-dnn variational-dropout-sparsifies-dnn Public

    Sparse Variational Dropout, ICML 2017

    Jupyter Notebook 312 45

  4. bayesgroup.github.io bayesgroup.github.io Public

    Jupyter Notebook 83 21

  5. deepbayes2017 deepbayes2017 Public

    Jupyter Notebook 66 15

  6. code_transformers code_transformers Public

    Empirical Study of Transformers for Source Code & A Simple Approach for Handling Out-of-Vocabulary Identifiers in Deep Learning for Source Code

    Python 63 18

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  • bayesgroup.org Public

    🛑⚠⚠⚠Warning: this is fully automatically generated site, DO NOT edit it manually ⚠⚠⚠🛑

    HTML 2 0 0 0 Updated Apr 16, 2025
  • dev.bayesgroup.org Public

    Dev environment for bayesgroup.org testing

    HTML 0 0 0 0 Updated Apr 16, 2025
  • bayesgroup.ru-redirect Public
    HTML 0 0 0 0 Updated Sep 23, 2024
  • HSE_ML_research_seminar_23_24 Public
    Jupyter Notebook 7 1 0 0 Updated Jun 4, 2024
  • deepbayes Public
    JavaScript 3 1 0 0 Updated Dec 19, 2023
  • bayesgroup.github.io Public
    Jupyter Notebook 83 21 1 0 Updated May 11, 2023
  • HSE_ML_research_seminar_22_23 Public
    Jupyter Notebook 4 1 0 0 Updated Apr 2, 2023
  • HSE_ML_research_seminar Public
    Jupyter Notebook 21 4 0 0 Updated May 30, 2022
  • equivariant-gnn-ddd-hse Public Forked from senya-ashukha/simple-equivariant-gnn

    A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks

    Python 1 Apache-2.0 12 0 0 Updated Jan 14, 2022
  • code_transformers Public

    Empirical Study of Transformers for Source Code & A Simple Approach for Handling Out-of-Vocabulary Identifiers in Deep Learning for Source Code

    Python 63 18 2 0 Updated Dec 3, 2021
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