Unofficial code base for UNETR: Transformers for 3D Medical Image Segmentation

Deep learning-based outlier/anomaly detection

3D masked autoencoder for anomaly detection

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Graph Convolutional Networks for Text Classification. AAAI 2019

A PyTorch implementation of "Graph Convolutional Networks for Text Classification." (AAAI 2019)

Compilation of examples of SageMaker inference options and other features.

A better way to make GUIs for your python apps