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boundary-loss

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.

deeplearning

Implementing deep learning algorithms from scratch

deeply-supervised-cnn

Deeply-supervised CNN for prostate segmentation

deqgan

Unsupervised neural networks for solving differential equations

focal-tversky-unet

This repo contains the code for our paper "A novel focal Tversky loss function and improved Attention U-Net for lesion segmentation" accepted at IEEE ISBI 2019.

focal-unet

Focal-Unet https://givkashi.github.io/focal-unet/

focalconvnet

forecasting-on-new-roads

Official repo for the following paper: Traffic Forecasting on New Roads Unseen in the Training Data Using Spatial Contrastive Pre-Training (SCPT) (ECML PKDD DAMI '23)

gsal

[PR2023] The Code of "GSAL: Geometric Structure Adversarial Learning for Robust Medical Image Segmentation"

keras_efficientnet_v2

self defined efficientnetV2 according to official version. Including converted ImageNet/21K/21k-ft1k weights.

mscg-net

Multi-view Self-Constructing Graph Convolutional Networks with Adaptive Class Weighting Loss for Semantic Segmentation

mygsal

pancreas_segmentation

Tensorflow implementation of a 3D-CNN U-net with Grid Attention and DSV for pancreas segmentation trained on CT-82.

peleenet-keras

An Unoffical Implementation of PeleeNet by TensorFlow, Keras

pixda

Official Code for Pixel-by-Pixel Cross-Domain Alignment for Few-Shot Semantic Segmentation. Here the paper: https://arxiv.org/abs/2110.11650

time-series-library

A Library for Advanced Deep Time Series Models.

transattunet

transfer-learning-with-pinns-for-efficient-simulation-of-branched-flows

Code for the Paper "Transfer Learning with Physics-Informed Neural Networks for Efficient Simulation of Branched Flows", Machine Learning and the Physical Sciences Workshop at the 36th conference on Neural Information Processing Systems (NeurIPS)