Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Super Gradients | 4,125 | 5 | 5 months ago | 38 | November 23, 2023 | 94 | apache-2.0 | Jupyter Notebook | ||
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS. | ||||||||||
Vitae Transformer Remote Sensing | 379 | 7 months ago | 10 | mit | TeX | |||||
A comprehensive list of our research works related to remote sensing, including papers, codes, and citations. Note: The repo for [TGRS'22] "An Empirical Study of Remote Sensing Pretraining" has been moved to: https://github.com/ViTAE-Transformer/RSP | ||||||||||
Seg Uncertainty | 374 | 5 months ago | 9 | mit | Python | |||||
IJCAI2020 & IJCV2021 :city_sunrise: Unsupervised Scene Adaptation with Memory Regularization in vivo | ||||||||||
Remote Sensing Rvsa | 331 | 6 months ago | 15 | mit | Python | |||||
The official repo for [TGRS'22] "Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model" | ||||||||||
Clan | 243 | 3 years ago | mit | Python | ||||||
( CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation | ||||||||||
Samrs | 167 | 6 months ago | 8 | Python | ||||||
The official repo for [NeurIPS'23] "SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model" | ||||||||||
Rsp | 80 | 8 months ago | 4 | mit | Python | |||||
The official repo for [TGRS'22] "An Empirical Study of Remote Sensing Pretraining" | ||||||||||
Hands Segmentation Pytorch | 62 | a year ago | Python | |||||||
A repo for training and finetuning models for hands segmentation. | ||||||||||
Datum | 47 | 5 months ago | other | Python | ||||||
Official Implementation of One-shot Unsupervised Domain Adaptation with Personalized Diffusion Models | ||||||||||
Segclip | 35 | a year ago | 2 | Python | ||||||
PyTorch implementation of ICML 2023 paper "SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic Segmentation" |