Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Segmentation_models.pytorch | 8,226 | 2 | 49 | 4 months ago | 13 | September 19, 2019 | 27 | mit | Python | |
Segmentation models with pretrained backbones. PyTorch. | ||||||||||
Imgclsmob | 2,399 | 9 | 2 years ago | 67 | September 21, 2021 | 6 | mit | Python | ||
Sandbox for training deep learning networks | ||||||||||
Ml Cvnets | 1,543 | 5 months ago | 33 | other | Python | |||||
CVNets: A library for training computer vision networks | ||||||||||
Caffe Model | 1,238 | 6 years ago | 28 | mit | Python | |||||
Caffe models (including classification, detection and segmentation) and deploy files for famouse networks | ||||||||||
Efficientvit | 732 | 2 months ago | 35 | apache-2.0 | Python | |||||
EfficientViT is a new family of vision models for efficient high-resolution vision. | ||||||||||
Fishnet | 511 | 5 years ago | Python | |||||||
Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018 | ||||||||||
Long Tailed Recognition.pytorch | 492 | 2 years ago | 24 | gpl-3.0 | Jupyter Notebook | |||||
[NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation (LVIS). It is also a PyTorch implementation of the NeurIPS 2020 paper 'Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect'. | ||||||||||
Rectlabel Support | 477 | 2 months ago | 9 | Python | ||||||
RectLabel is an offline image annotation tool for object detection and segmentation. | ||||||||||
Osvos Pytorch | 434 | 5 years ago | 1 | gpl-3.0 | Python | |||||
PyTorch implementation of One-Shot Video Object Segmentation (OSVOS) | ||||||||||
Isda For Deep Networks | 409 | 3 years ago | 4 | Python | ||||||
An efficient implicit semantic augmentation method, complementary to existing non-semantic techniques. |