Calibrating neural networks with Bayesian nonparametric regression (Inferno) to quantify uncertainty and improve prediction reliability.
active 2024-11-11 → 2025-04-18 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 159 days from 2024-11-11 to 2025-04-18. Pushes: 78 total, peak 10 in a day. Pull requests: 19 total, peak 8 in a day. Issues: 69 total, peak 25 in a day. Comments: 5 total, peak 2 in a day. Stars: 1 total, peak 1 in a day.
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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#265896642025-04-17 20:58update readme with basics
- Issue#565896642025-04-17 20:58update python to 3.12.10 and check if py project runs smooth with installations
- Issue#555896642025-04-16 22:39update the license file to more appropriate for project
- Issue#545896642025-04-16 22:38plots comparing CNN and inferno (sigmoid confidence vs. true probs)
- Issue#535896642025-04-16 22:37make prediction pipeline img + aux data -> CNN -> inferno -> prediction
- Issue#85896642025-04-16 22:35setup and fetch the project on remote server
- Issue#305896642025-04-16 22:35rewrite all to classes (easier to maintain)
- Issue#395896642025-04-16 22:35define model name input prompt/config
- Issue#235896642025-04-16 22:35introduce early stopping
- Issue#195896642025-04-16 22:34figure out how optimizer works
- Issue#115896642025-04-16 22:34introduce dropout layers
- Issue#385896642025-04-16 22:34convert the printouts to rich console
- Issue#425896642025-04-16 22:34default values if config is missing
- Issue#415896642025-04-16 22:34introduce dataset param relation in %
- Issue#435896642025-04-16 22:34introduce testing of the models
- Issue#465896642025-04-16 22:34introduce GPU stats monitoring in console
- Issue#445896642025-04-16 22:34update statistics printout of Dataloader
- Pull request#525896642025-04-09 21:14
- Issue#495896642025-01-14 18:50introduce dropout rate
- Pull request#515896642025-01-14 18:50
- Pull request#515896642025-01-14 18:50
- Issue#505896642024-11-26 15:19look into f1 rate by balancing dataset for training & validation
- Issue#495896642024-11-26 00:41introduce dropout rate
- Issue#485896642024-11-23 21:28update repository tags
- Issue#475896642024-11-23 21:21remote automation
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.