Showing 1-7 of 7 projects
PyTorch implementation of the MoCo self-supervised learning framework for computer vision tasks.
An easy-to-use stub server for mocking APIs during development and testing.
A pre-training toolbox and benchmark for vision AI models, including self-supervised learning and state-of-the-art architectures.
A library of self-supervised methods for visual representation learning powered by PyTorch Lightning.
Unsupervised image classification library using contrastive learning and SCAN algorithm.
Contrastive Multiview Coding implementation for AI coding tools and MCP servers.
PyTorch implementation of the MoCo v3 unsupervised learning algorithm for feature representation.
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