Showing 1-11 of 11 projects
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
A library for semi-supervised learning on medical image segmentation tasks.
Detects anomalies and drift in data with algorithms for outlier, adversarial, and concept-drift detection.
An integrated federated learning library for research and production use cases.
A curated list of awesome papers, methods, and resources for semi-supervised learning, a powerful machine learning technique.
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
A PyTorch-based library for semi-supervised learning in computer vision and deep learning.
Train, evaluate, optimize, and deploy computer vision models with OpenVINO, a toolkit for accelerating deep learning on edge devices.
A companion repository for the book 'GANs in Action: Deep learning with Generative Adversarial Networks'.
Official implementation of the ADBench anomaly detection benchmark for machine learning models
A contrastive learning-based semi-supervised medical image segmentation network for surgical tools and video analysis.
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