Semi-supervised-learning
Discover the USB PyTorch-based package for Semi-Supervised Learning, offering a practical framework for creating AI models in computer vision, natural language processing, and audio classification. This package includes 14 algorithms based on Consistency Regularization to optimize small datasets, making advanced AI accessible to smaller teams. The library provides essential resources, from data preparation to algorithm evaluation with comprehensive benchmarking, catering to researchers and developers aiming to improve machine learning projects.
