Showing 6 of 6 projects
A comprehensive collection of PyTorch image models, layers, utilities, and training scripts for computer vision research and applications.
A PyTorch library providing datasets, model architectures, and image transformations for computer vision tasks.
A collection of pre-trained machine learning models ported to TensorFlow.js for use directly in the browser or Node.js.
A curated collection of papers, code, and resources for domain adaptation in machine learning.
A hands-on beginner's guide to machine learning and image classification using Caffe and DIGITS with neural networks.
Official repository for Big Transfer (BiT) models, providing pre-trained visual representations for efficient transfer learning across computer vision tasks.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.