layumi
Zhedong Zheng Joined Aug 2014 2,086 followers View on GitHub
- Stars
- 9,110
- across 90 public repos
- Rank
- #3,629
- of 324,379 users, top 2%
- Down 4 places this week
Repositories with 50+ stars
| Rank | Repository | Language | Stars |
|---|---|---|---|
| 14,719 | Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial | Python | 4,459 |
| 92,484 | ACM Multimedia2020 University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization annotates 1652 buildings in 72 universities around the world. | Python | 701 |
| 121,468 | the collection of vehicle re-ID papers, datasets. | 520 | |
| 134,059 | The 1st Place Submission to AICity Challenge 2020 re-id track (Baidu-UTS submission) | Python | 465 |
| 154,108 | IJCAI2020 & IJCV2021 Unsupervised Scene Adaptation with Memory Regularization in vivo | Python | 397 |
| 184,292 | ICCV2017 Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro | Cuda | 324 |
| 198,587 | TOMM2020 Dual-Path Convolutional Image-Text Embedding with Instance Loss https://arxiv.org/abs/1711.05535 | MATLAB | 297 |
| 214,839 | TNNLS'22 Parameter-Efficient Person Re-identification in the 3D Space | Python | 271 |
| 219,675 | TOMM2017 A Discriminatively Learned CNN Embedding for Person Re-identification | C | 264 |
| 239,597 | TCSVT2018 Pedestrian Alignment Network for Large-scale Person Re-identification | Cuda | 238 |
| 287,317 | Person re-ID baseline with triplet loss | Python | 191 |
| 384,539 | CVPR2015 Cascade CNNs for Face Detection | HTML | 134 |
| 485,271 | (pytorch version) TOMM2017 A Discriminatively Learned CNN Embedding for Person Re-identification | Python | 100 |
| 513,064 | [npj AI] 3D Magic Mirror: Clothing Reconstruction from a Single Image via a Causal Perspective Single-View 3D Reconstruction | Python | 93 |
| 556,211 | ICCV2015 Image Super-Resolution Using Deep Convolutional Networks | Cuda | 84 |
| 601,731 | A collection of methods to fool the deep neural network | 76 |
Among 324,379 users
6.3k–10k stars: 2,573 users, including layumi
Stars along the bottom, and users in each band on a log scale
Where the stars are
Languages
- Python 6.7k stars, 73% · 8 repos
- Cuda 646 stars, 7% · 3 repos
- MATLAB 297 stars, 3% · 1 repo
- C 264 stars, 3% · 1 repo
- HTML 134 stars, 1% · 1 repo
When they were made
16 repos with 50+ stars, made between 2015 and 2021
Quick stats
- Next rank
- +3 stars to reach #3,627
- Next milestone
- +809 stars to reach the top 1%
- Public repos
- 90, 16 with 50+ stars
- Popular repos
- 13 over 100 stars, 1 over 1k stars
- Top repo
- Person_reID_baseline_pytorch, #14,719 of all repos, 49% of stars
- Smaller repos
- 496 stars from repos under 50