{"categories":[{"label":"Build Tools","url":"https://skillfed.io/packages/category/software-development-build-tools/5"}],"enrichment":{"capability":"Provides a unified interface to load pretrained PyTorch convolutional neural networks (ResNet, DenseNet, Inception, NASNet, SENet, and others) with weights initialized from ImageNet training.","skillfed_tags":["transfer-learning","computer-vision","abandoned"],"use_cases":["Load a pretrained ResNet or DenseNet for transfer learning on a custom image classification task without retraining from scratch.","Extract intermediate features from a pretrained model for use in a downstream task like object detection or segmentation.","Reproduce results from research papers published around 2017\u20132018 that relied on specific pretrained architectures and their exact weight initializations.","Access multiple pretrained architectures through a single unified API rather than hunting for individual model implementations."],"what_it_does":"Pretrainedmodels is a PyTorch package that wraps pretrained convolutional neural network models trained on ImageNet. It provides a consistent API across many architectures\u2014ResNet, DenseNet, Inception, NASNet, SENet, DualPathNet, Xception, and others\u2014allowing you to load models with weights already initialized from large-scale training. The package exposes model attributes like input size, normalization statistics, and intermediate layer access for transfer learning and feature extraction.\n\nThe package was designed to help reproduce research results and enable transfer learning setups by offering a torchvision-like interface. However, it has been abandoned since late 2018 and receives no maintenance. While it may still work for loading older model checkpoints, it is not updated for modern PyTorch conventions or security practices, and model weight URLs may be stale.","worth_installing":"No. The package is abandoned, with no updates since 2018-10-29 and no commits since 2022-04-22. Modern PyTorch and torchvision have superseded it with actively maintained model zoos, better API design, and current weight URLs. Install only if you must reproduce a specific 2018-era result or need a model not available elsewhere; otherwise, use torchvision or timm instead."},"id":"pretrainedmodels","links":{"html":"https://skillfed.io/packages/pretrainedmodels","md":"https://skillfed.io/packages/pretrainedmodels.md","pypi":"https://pypi.org/project/pretrainedmodels/"},"maintenance":{"status":"abandoned"},"meta":{"latest_release":"2018-10-29","license_spdx":null,"license_treatment":"permissive","name":"pretrainedmodels","python_support":"unspecified","summary":"Pretrained models for Pytorch"},"popularity":{"monthly_downloads":85116,"position":13949,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.7.4"}