The interactive graphing library for Python ✨

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

Pytorch implementation of Graph U-Nets (ICML19)

[JBHI] Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"

[CVPR 2024 Highlight] Visual Point Cloud Forecasting

PyTorch implementations of recent Computer Vision tricks (ReXNet, RepVGG, Unet3p, YOLOv4, CIoU loss, AdaBelief, PolyLoss, MobileOne). Other additions: AdEMAMix

AutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch

Implementation of CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification

Segmentation deep learning ALgorithm based on MONai toolbox: single and multi-label segmentation software developed by QIMP team-Vienna.

3D volume data augmentation package inspired by albumentations

Python scripts for capturing OpenFDA data in a database.