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A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

active 2023-08-152026-06-07 (UTC)

Complete coverage26,418 / 26,418 hourly files (100%) · 2 absent upstream2023-08-152026-08-19 (UTC)
Events
431
Pushes
13
Pull requests
5
Issues
20
Stars
320
Forks
42

Activity over time

Daily event counts in the loaded window

Line chart, 1028 days from 2023-08-15 to 2026-06-07. Pushes: 13 total, peak 5 in a day. Pull requests: 5 total, peak 1 in a day. Issues: 20 total, peak 5 in a day. Comments: 25 total, peak 3 in a day. Stars: 320 total, peak 4 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

Recent activity

Latest issues, pull requests and releases

  • Issue#38Peter-sth2025-08-08 07:59
    Strange Negative Predictions and High Variance Issue in Bayesian Neural Networks for Uncertainty Prediction
  • Issue#38Peter-sth2025-08-08 07:55
    Strange Negative Predictions and High Variance Issue in Bayesian Neural Networks for Uncertainty Prediction
  • Issue#38Peter-sth2025-08-08 07:55
    Strange Negative Predictions and High Variance Issue in Bayesian Neural Networks for Uncertainty Prediction
  • Issue#38Peter-sth2025-04-27 02:12
    Strange Negative Predictions and High Variance Issue in Bayesian Neural Networks for Uncertainty Prediction
  • Issue comment#37dashangyanhua2024-11-14 08:36
    There are questions about function fitting (variational Bayesian network)
  • Issue comment#37ranganathkrishnan2024-11-14 08:16
    There are questions about function fitting (variational Bayesian network)
  • Issue#37dashangyanhua2024-11-14 08:10
    There are questions about function fitting (variational Bayesian network)
  • Issue comment#22staco-tx-mli2024-06-10 13:35
    Regression tasks: Epistemic and Aleatoric Uncertainty Estimation
  • Issue comment#22ranganathkrishnan2024-05-08 20:36
    Regression tasks: Epistemic and Aleatoric Uncertainty Estimation
  • Issue comment#22famura2024-05-08 14:26
    Regression tasks: Epistemic and Aleatoric Uncertainty Estimation
  • Issue comment#22giulioturrisi2024-04-17 08:57
    Regression tasks: Epistemic and Aleatoric Uncertainty Estimation
  • Issue comment#22famura2024-04-17 08:42
    Regression tasks: Epistemic and Aleatoric Uncertainty Estimation
  • Issue comment#22giulioturrisi2024-04-17 08:16
    Regression tasks: Epistemic and Aleatoric Uncertainty Estimation
  • Issue#36profPlum2024-04-15 18:46
    Inconsistent use of mean & sum when calculating KL divergence?
  • Issue comment#22famura2024-03-04 15:29
    Regression tasks: Epistemic and Aleatoric Uncertainty Estimation
  • Pull request#35rewat72024-02-10 07:19
  • Issue comment#31dzy666fly2024-01-04 10:13
    number of MC samples for training and inference
  • Releaseranganathkrishnan2024-01-03 00:08
    Bayesian-Torch 0.5.0
  • Issue comment#34ranganathkrishnan2024-01-02 20:18
    problem in conv_transpose2d
  • Issue#34ranganathkrishnan2024-01-02 20:18
    problem in conv_transpose2d
  • Issue comment#21ranganathkrishnan2024-01-02 20:18
    Error in trans_conv2d when model is reparametrized
  • Issue#21ranganathkrishnan2024-01-02 20:18
    Error in trans_conv2d when model is reparametrized
  • Issue comment#24ranganathkrishnan2024-01-02 19:52
    local variable 'kl' referenced before assignment when using flipout in dnn_to_bnn()
  • Issue#24ranganathkrishnan2024-01-02 19:52
    local variable 'kl' referenced before assignment when using flipout in dnn_to_bnn()
  • Issue#31ranganathkrishnan2024-01-02 19:44
    number of MC samples for training and inference

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 320 stars here means stars gained during the window, not the repo's star count.