StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
active 2023-08-15 → 2026-04-18 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 978 days from 2023-08-15 to 2026-04-18. Pushes: 0 total, peak 0 in a day. Pull requests: 1 total, peak 1 in a day. Issues: 6 total, peak 1 in a day. Comments: 16 total, peak 6 in a day. Stars: 240 total, peak 5 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
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| mingukkang | 7 | 0 | 0 | 7 |
| alex4727 | 2 | 0 | 0 | 1 |
| HolyAkisy | 2 | 0 | 0 | 2 |
| asif-nuaa | 2 | 0 | 0 | 2 |
| Tangolin | 1 | 0 | 0 | 0 |
| Hong753 | 1 | 0 | 0 | 0 |
| Adversarian | 1 | 0 | 0 | 1 |
| Zhang-Jing-Xuan | 1 | 0 | 0 | 1 |
| david-klindt | 1 | 0 | 1 | 0 |
| black0017 | 1 | 0 | 0 | 1 |
| adderbyte | 1 | 0 | 0 | 0 |
| mckellwoodland | 1 | 0 | 0 | 0 |
| f-amerehi | 1 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue#211ytakida2025-07-23 06:57Access to Baby, Papa, and Grandpa ImageNet datasets
- Pull request#210david-klindt2024-08-09 17:19
- Issue comment#208asif-nuaa2024-05-12 15:35Generate synthetic images in Colab environment
- Issue comment#105asif-nuaa2024-05-12 15:34How to generate a single pic?
- Issue comment#203mingukkang2024-01-31 07:50Possibility of Loading various checkpoints during --eval_backbone for ResNet50_torch
- Issue comment#203mingukkang2024-01-31 07:48Possibility of Loading various checkpoints during --eval_backbone for ResNet50_torch
- Issue comment#193mingukkang2024-01-31 07:43Segmentation fault (core dumped)
- Issue comment#194mingukkang2024-01-31 07:42contraGan
- Issue comment#191mingukkang2024-01-31 07:42ContraGAN code
- Issue comment#204mingukkang2024-01-31 07:40Ambiguity on the method used
- Issue#204Tangolin2024-01-23 04:03Ambiguity on the method used
- Issue comment#199HolyAkisy2023-12-29 03:13PermissionError: [WinError 32]
- Issue comment#199f-amerehi2023-12-28 16:02PermissionError: [WinError 32]
- Issue comment#199HolyAkisy2023-12-28 03:04PermissionError: [WinError 32]
- Issue comment#200mingukkang2023-11-20 07:08Baby-ImageNet link is not working
- Issue comment#200Zhang-Jing-Xuan2023-11-20 06:56Baby-ImageNet link is not working
- Issue#200Hong7532023-11-14 01:09Baby-ImageNet link is not working
- Issue comment#189black00172023-10-28 15:24how to instantiate a model, load a checkpoint and visualize some generated images?
- Issue comment#190Adversarian2023-10-07 10:02Training a cGAN on MNIST
- Issue#196mckellwoodland2023-10-06 12:23Evaluate.py ResNet50 Syntax Error
- Issue#195alex47272023-09-26 06:45CIFAR-10: Training set and test set for Pretrained checkpoints.
- Issue comment#195alex47272023-09-22 02:19CIFAR-10: Training set and test set for Pretrained checkpoints.
- Issue#195adderbyte2023-09-19 19:19CIFAR-10: Training set and test set for Pretrained checkpoints.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 240 stars here means stars gained during the window, not the repo's star count.