Reverse Dependencies of pretrainedmodels

The following projects have a declared dependency on pretrainedmodels:

• audiossl — no summary
• autoballs — Python package for segmentation of axons and morphological analysis.
• azureml-automl-dnn-vision — AutoML DNN Vision Models
• azureml-contrib-automl-dnn-vision — AutoML DNN Vision Models
• block.bootstrap.pytorch — BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection
• change-detection-pytorch — Change detection models with pre-trained backbones. Inspired by segmentation_models.pytorch.
• custom-bgr — Customized background removal app
• d3m-segmentation-models-pytorch — Image segmentation models with pre-trained backbones. PyTorch.
• devolearn — Accelerate data driven research in developmental biology with deep learning models
• featurize-package — Official packages for featurize.
• fractalai — Integrated image classification and semantic segmentation package
• gedml — GeDML is an easy-to-use generalized deep metric learning library, which contains state-of-the-art deep metric learning algorithms and auxiliary modules to build end-to-end compute vision systems
• gimpml — A.I. for GIMP
• mammopy — A unified solution for mammogram image analysis and interpretation
• mira — A package for simplifying object detection
• murel.bootstrap.pytorch — MUREL: Multimodal Relational Reasoning for Visual Question Answering
• powerful-benchmarker — A PyTorch library for benchmarking deep metric learning. It's powerful.
• pytorch-vision-utils — PyTorch training and data visualization utilities
• quarks2-fractal — Integrated image classification and semantic segmentation package
• roofAI — 🏛️ everything AI about roofs.
• segmentation-models-pytorch — Image segmentation models with pre-trained backbones. PyTorch.
• segmentation-models-pytorch-3d — Set of models for segmentation of 3D volumes using PyTorch.
• segmentation-models-pytorch-deepflash2 — Image segmentation models with pre-trained backbones. PyTorch. Adapted for deepflash2
• segmentation_models_pytorch-orobix — Deep Learning experiment orchestration library
• segmentation-sust — Image segmentation models with pre-trained backbones. PyTorch.
• simplepytorch — Setup and train deep nets with PyTorch. Opinionated and Simple.
• slideflow — Deep learning tools for digital histology
• tati-tools — Tools for computer vision tasks.
• torchline — A framework for easy to use Pytorch
• yann — yet another neural network library