Pytorch_deeplab
Here is an implementation of DeepLabv3+ in PyTorch(1.7). It supports many backbones and datasets.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Fots.pytorch | 604 | a year ago | 80 | bsd-3-clause | Python | |||||
| FOTS Pytorch Implementation | ||||||||||
| Sidechainnet | 256 |  | 4 | 10 months ago | 11 | November 02, 2023 | 9 | bsd-3-clause | Python | |
| An all-atom protein structure dataset for machine learning. | ||||||||||
| Yolo Multi Backbones Attention | 223 | 3 years ago | 5 | Python | ||||||
| Model Compression—YOLOv3 with multi lightweight backbones(ShuffleNetV2 HuaWei GhostNet), attention, prune and quantization | ||||||||||
| Spcl | 157 | 3 years ago | 7 | mit | Python | |||||
| [NeurIPS-2020] Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID. | ||||||||||
| Everypixelmatters | 150 | a year ago | 12 | other | Python | |||||
| Implementation of ECCV 2020 paper "Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector" | ||||||||||
| Deeponeclass | 125 | 5 years ago | 2 | lgpl-3.0 | Python | |||||
| Deep learning based one class classification code targeting one class image classification. Tests carried out on Abnormal image detection, Novel image detection and Active Authentication reported state of the art results. | ||||||||||
| Piggyback | 116 | 5 years ago | 3 | Python | ||||||
| Code for Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights | ||||||||||
| Siamgat | 116 | 2 years ago | 27 | Python | ||||||
| Code for the paper "Graph Attention Tracking". (CVPR2021) | ||||||||||
| Urt | 55 | 3 years ago | 2 | Python | ||||||
| ICLR 2021: A Universal Representation Transformer Layer for Few-Shot Image Classification | ||||||||||
| Image Segmentation | 35 | 4 years ago | 2 | mit | Python | |||||
| Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available | ||||||||||
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Pytorch
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