luisdavid64

HyperSpace

Code for the MICCAI 2024 paper "HyperSpace: Hypernetworks for spacing-adaptive image segmentation"

FastGeodis

Fast Implementation of Generalised Geodesic Distance Transform for CPU (OpenMP) and GPU (CUDA)

ImFusion_DemoPlugin

An tiny example for the implementation of a custom plugin in ImFusionSuite

CAP_augmentation

Cut and paste augmentation for object detection and instance segmentation

topnn_framework

awesome-tda

A curated list of topological data analysis (TDA) resources and links.

Skeletonization

In this repository you can see the code for skeletonization of binary images using our novel fuzzy inference system.

malis

MALIS structured loss function for supervised learning of segmentation and clustering

Topo-Loss

Reimplementation of "A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology".

BiPer

XNOR-Net-PyTorch

PyTorch Implementation of XNOR-Net

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.

Connectivity-Aware-Airway-Segmentation

[IEEE JBHI, 2023] Towards Connectivity-Aware Pulmonary Airway Segmentation

Bi-Real-net

Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm. In ECCV 2018 and IJCV

ReCU

Pytorch implementation of our paper accepted by ICCV 2021 -- ReCU: Reviving the Dead Weights in Binary Neural Networks http://arxiv.org/abs/2103.12369

BMXNet-v2

BMXNet 2: An Open-Source Binary Neural Network Implementation Based on MXNet

SiMaN

Pytorch implementation of our paper accepted by TPAMI 2022 -- SiMaN: Sign-to-Magnitude Network Binarization

sdtnet

Spatial Decomposition and Transformation Network - TensorFlow

AdamW-and-SGDW

Decoupled Weight Decay Regularization (ICLR 2019)

Time-Dynamic-Prediction-Reliability

py-spy

Sampling profiler for Python programs

memray

Memray is a memory profiler for Python

difflogic

A Library for Differentiable Logic Gate Networks

corenet

CoreNet: A library for training deep neural networks

ExplainableCNN

Explainable CNN (XCNN)

skeletonization

Graphite

2D vector & raster editor that melds traditional layers & tools with a modern node-based, non-destructive, procedural workflow.

ReSTE

Official implementation of Rectified Straight Through Estimator (ReSTE).

Efficient-Deep-Learning

Collection of recent methods on (deep) neural network compression and acceleration.

gaussian-opacity-fields

Gaussian Opacity Fields: Efficient and Compact Surface Reconstruction in Unbounded Scenes