Stars
Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.
Interactive image stack viewing in jupyter notebooks based on ipycanvas and ipywidgets
Semantic photo search for the command line
Joint training of denoising and segmentation.
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
StarDist - Object Detection with Star-convex Shapes
Unsupervised Anomaly Detection for X-Ray Images
napari: a fast, interactive, multi-dimensional image viewer for python
Python based viewer for large mulit-dimensional datasets.
[MSG-GAN] Any body can GAN! Highly stable and robust architecture. Requires little to no hyperparameter tuning. Pytorch Implementation
Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in MedIA, volume 67, January 2021.
A simple baseline for 3d human pose estimation in tensorflow. Presented at ICCV 17.
A simple baseline for 3d human pose estimation in tensorflow. Presented at ICCV 17.
PyTorch code for the "Deep Neural Networks with Box Convolutions" paper
Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.
TMI 2018. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes
Partially Adaptive Momentum Estimation method in the paper "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks" (accepted by IJCAI 2020)
Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
A library to facilitate machine learning on multi-dimensional images.
Parameterized fit and prediction harnesses for pytorch
The source code that powers readthedocs.org
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.
A demonstration of the attention mechanism with some toy experiments and explanations.
Tacotron 2 - PyTorch implementation with faster-than-realtime inference