Showing 21-26 of 26 projects
A PyTorch implementation of a BERT-style pretraining method for convolutional networks, enabling more efficient self-supervised learning.
A toolbox for training and deploying object detectors and segmentation models on medical images using PyTorch.
A collection of Caffe models and deployment files for popular machine learning networks like classification, detection, and segmentation.
A collection of research papers and resources on computer vision tasks like image classification, object detection, and face recognition.
A C++ implementation of popular object detection frameworks like Cascade R-CNN.
High-level network definitions with pre-trained weights in TensorFlow for deep learning and computer vision tasks.
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