cellSAM
Cell segmentation library
A Python library providing inference code for a foundation model of cell segmentation using PyTorch.
Codebase for "A Foundation Model for Cell Segmentation"
58 stars
4 watching
8 forks
Language: Jupyter Notebook
last commit: 7 months ago
Linked from 1 awesome list
hallvaaw/awesome-biological-image-analysisRelated projects:
| Repository | Description | Stars |
|---|---|---|
| vanvalenlab/deepcell-tf | A deep learning library for analyzing biological images at the single-cell level | 431 |
 yunlongdong/fcn-pytorch | A PyTorch implementation of FCN for semantic segmentation with an easy-to-use interface and pre-trained models. | 161 |
 mattmacy/vnet.pytorch | A PyTorch implementation of V-Net for volumetric medical image segmentation | 703 |
 yassouali/pytorch-segmentation | Implementation of semantic segmentation models and datasets using PyTorch | 1,705 |
 mouseland/cellpose | A software framework for cell segmentation in microscopy images with human-in-the-loop capabilities and image restoration | 1,415 |
 lextal/pspnet-pytorch | A PyTorch implementation of a segmentation network architecture | 588 |
 oyam/pytorch-dpns | PyTorch implementation of a deep learning model for image segmentation | 90 |
 media-smart/vedaseg | A PyTorch-based toolbox for building and training semantic segmentation models | 408 |
 davidtvs/pytorch-enet | A PyTorch implementation of a real-time semantic segmentation model using ENet architecture | 392 |
 omicsml/cellplm | An open-source pre-trained language model for analyzing cell types from single-cell data | 69 |
 hualin95/deeplab-v3plus | A high-performance PyTorch implementation of semantic image segmentation using a custom encoder-decoder architecture. | 334 |
 mstorath/pottslab | A toolbox for unsupervised multilabel image segmentation using the Potts model. | 110 |
 celvoxes/cellama | Automates cell type annotation using large language models and provides extensive customized reports | 144 |
 pybamm-team/liionpack | A tool for simulating battery pack behavior in one dimension using the PyBaMM framework | 90 |
 kaiyangzhou/dassl.pytorch | A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision. | 1,236 |