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i2i-generator-unlearning - A PyTorch implementation of MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis

active 2023-08-162026-04-11 (UTC)

Complete coverage26,637 / 26,637 hourly files (100%) · 2 absent upstream2023-08-152026-08-28 (UTC)
Events
364
Pushes
0
Pull requests
0
Issues
22
Stars
233
Forks
16

Activity over time

Daily event counts in the loaded window

Line chart, 970 days from 2023-08-16 to 2026-04-11. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 22 total, peak 2 in a day. Comments: 93 total, peak 8 in a day. Stars: 233 total, peak 6 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#59niklasbubeck2025-04-02 14:22
    MAGE-C training script
  • Issue#58LeviZhang3272025-03-18 09:22
    Details about vqgan training on your own dataset
  • Issue comment#57LTH142024-10-15 14:26
    About problems in the training process
  • Issue comment#5618222why2024-10-15 13:58
    A issues about ckpt
  • Issue comment#4518222why2024-10-13 14:08
    some questions about changing the image classification data set
  • Issue comment#45LTH142024-10-13 13:41
    some questions about changing the image classification data set
  • Issue comment#4518222why2024-10-13 12:17
    some questions about changing the image classification data set
  • Issue comment#45LTH142024-10-13 07:00
    some questions about changing the image classification data set
  • Issue comment#4518222why2024-10-13 06:42
    some questions about changing the image classification data set
  • Issue comment#4518222why2024-10-13 04:51
    some questions about changing the image classification data set
  • Issue comment#45LTH142024-10-13 04:41
    some questions about changing the image classification data set
  • Issue comment#4518222why2024-10-13 04:34
    some questions about changing the image classification data set
  • Issue comment#45LTH142024-10-11 04:23
    some questions about changing the image classification data set
  • Issue comment#4518222why2024-10-11 04:11
    some questions about changing the image classification data set
  • Issue comment#45LTH142024-10-11 03:28
    some questions about changing the image classification data set
  • Issue comment#4518222why2024-10-11 03:26
    some questions about changing the image classification data set
  • Issue comment#5618222why2024-09-22 02:28
    A issues about ckpt
  • Issue comment#56LTH142024-09-22 02:26
    A issues about ckpt
  • Issue#5618222why2024-09-22 02:23
    A issues about ckpt
  • Issue#54iamlockelightning2024-08-05 02:28
    Request for the implementation of "Autoregressive Image Generation without Vector Quantization"
  • Issue comment#54LTH142024-07-28 03:38
    Request for the implementation of "Autoregressive Image Generation without Vector Quantization"
  • Issue comment#54Haochen-Wang4092024-07-24 02:56
    Request for the implementation of "Autoregressive Image Generation without Vector Quantization"
  • Issue#55Haoyu1Chen2024-07-12 13:05
    Regarding codes reconstructing masked images
  • Issue comment#5densechen2024-07-10 04:02
    The code for contrastive leanring is included in the current codebase or not?
  • Issue comment#54LTH142024-06-26 09:20
    Request for the implementation of "Autoregressive Image Generation without Vector Quantization"

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 233 stars here means stars gained during the window, not the repo's star count.