Showing 1-8 of 8 projects
PyTorch implementation of the Masked Autoencoder (MAE) model for self-supervised learning from Facebook Research.
A pre-training toolbox and benchmark for vision AI models, including self-supervised learning and state-of-the-art architectures.
Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners
A simple vision transformer baseline for human pose estimation, with pre-trained models and advanced capabilities.
A self-supervised video representation learning model for video understanding tasks.
A library of self-supervised methods for visual representation learning powered by PyTorch Lightning.
A PyTorch implementation of a BERT-style pretraining method for convolutional networks, enabling more efficient self-supervised learning.
A source generator that eliminates DTO boilerplate by auto-generating DTOs, mappings, and EF Core projections.
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