Showing 1-10 of 10 projects
A PyTorch library with pre-trained convolutional networks for various computer vision tasks.
A high-performance deep learning architecture that improves upon the classic VGG model.
Easy benchmarking of publicly available convolutional neural network implementations.
A Tensorflow-based library for super-resolution image processing using subpixel convolution networks.
Interactive visualization for Keras convolutional neural networks
A PyTorch implementation of Deformable Convolution Networks V2 (DCNv2), a powerful computer vision technique.
A PyTorch implementation of a BERT-style pretraining method for convolutional networks, enabling more efficient self-supervised learning.
C3D is a modified version of BVLC caffe to support 3D ConvNets for computer vision applications.
A PyTorch implementation of the I3D (Inflated 3D ConvNet) architecture for video classification tasks.
A Python library that implements Spatial Transformer Networks, a type of deep learning model that can learn spatial transformations.
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