Showing 1-9 of 9 projects
A collection of PyTorch image encoders/backbones with training, evaluation, and inference scripts.
A PyTorch library with pre-trained convolutional networks for various computer vision tasks.
Segmentation models with pretrained backbones for image processing and computer vision tasks.
A PyTorch repository for practicing image classification on the CIFAR-100 dataset using various deep learning models.
This is an implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks.
PyTorch-based library for image classification tasks like CIFAR-10, CIFAR-100, and ImageNet.
A comprehensive PyTorch-based code repository for image classification, including training, prediction, TTA, model fusion, deployment, and more.
A collection of Caffe models and deployment files for popular machine learning networks like classification, detection, and segmentation.
Classification models trained on ImageNet, for use in computer vision and image classification tasks.
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