This repository contains our work for the validation project of the course Bayesian Machine Learning, 2023/2024, ENS Paris-Saclay, Master MVA. It consists in a thorough study of the paper "Challenges in Markov chain Monte Carlo for Bayesian neural networks" by Theodore Papamarkou et al.
active 2024-02-10 → 2024-03-15 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 35 days from 2024-02-10 to 2024-03-15. Pushes: 55 total, peak 17 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
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- Pull requests
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- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| BenKabongo25 | 28 | 28 | 0 | 0 |
| hugo-qea | 27 | 27 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.