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An R package for Neural Nets created using nnlib2

active 2024-01-312025-03-05 (UTC)

Complete coverage26,345 / 26,345 hourly files (100%) · 2 absent upstream2023-08-152026-08-16 (UTC)
Events
71
Pushes
33
Pull requests
0
Issues
4
Stars
1
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 400 days from 2024-01-31 to 2025-03-05. Pushes: 33 total, peak 3 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 4 total, peak 2 in a day. Comments: 23 total, peak 4 in a day. Stars: 1 total, peak 1 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

ContributorContributionsPushesPRsComments
VNNikolaidis4433011
drag05160012

Recent activity

Latest issues, pull requests and releases

  • ReleaseVNNikolaidis2025-01-24 09:24
    v.0.2.9
  • ReleaseVNNikolaidis2024-06-10 18:42
    v.0.2.8
  • ReleaseVNNikolaidis2024-04-27 10:59
    v.0.2.7
  • ReleaseVNNikolaidis2024-03-10 08:23
    v.0.2.5
  • Issue comment#16drag052024-02-27 20:40
    Checking the codebook vectors in trained vector quantization NN
  • Issue#16drag052024-02-27 20:40
    Checking the codebook vectors in trained vector quantization NN
  • Issue comment#16VNNikolaidis2024-02-27 18:51
    Checking the codebook vectors in trained vector quantization NN
  • Issue comment#16drag052024-02-26 19:46
    Checking the codebook vectors in trained vector quantization NN
  • Issue comment#16VNNikolaidis2024-02-26 18:16
    Checking the codebook vectors in trained vector quantization NN
  • Issue comment#16drag052024-02-26 17:38
    Checking the codebook vectors in trained vector quantization NN
  • Issue comment#16drag052024-02-25 19:42
    Checking the codebook vectors in trained vector quantization NN
  • Issue comment#16VNNikolaidis2024-02-25 16:20
    Checking the codebook vectors in trained vector quantization NN
  • Issue comment#16drag052024-02-24 21:04
    Checking the codebook vectors in trained vector quantization NN
  • Issue comment#16drag052024-02-24 17:28
    Checking the codebook vectors in trained vector quantization NN
  • Issue comment#16drag052024-02-23 22:10
    Checking the codebook vectors in trained vector quantization NN
  • Issue comment#16VNNikolaidis2024-02-23 17:47
    Checking the codebook vectors in trained vector quantization NN
  • Issue comment#16drag052024-02-22 22:00
    Checking the codebook vectors in trained vector quantization NN
  • Issue comment#16VNNikolaidis2024-02-22 19:37
    Checking the codebook vectors in trained vector quantization NN
  • Issue comment#16drag052024-02-22 18:26
    Checking the codebook vectors in trained vector quantization NN
  • Issue comment#16VNNikolaidis2024-02-22 14:40
    Checking the codebook vectors in trained vector quantization NN
  • Issue comment#16drag052024-02-21 20:07
    Checking the codebook vectors in trained vector quantization NN
  • Issue comment#16VNNikolaidis2024-02-21 14:18
    Checking the codebook vectors in trained vector quantization NN
  • Issue comment#16VNNikolaidis2024-02-21 14:06
    Checking the codebook vectors in trained vector quantization NN
  • Issue comment#15drag052024-02-20 16:32
    Reusing saved trained NN
  • Issue comment#15VNNikolaidis2024-02-19 18:42
    Reusing saved trained NN

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.