297 Open source projects that are alternatives of or similar to LibAUC

AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

A distributed graph deep learning framework.

Representation Learning on Graphs with Jumping Knowledge Networks

StellarGraph - Machine Learning on Graphs

An index of recommendation algorithms that are based on Graph Neural Networks.

ICVGIP' 18 Oral Paper - Classification of thoracic diseases on ChestX-Ray14 dataset

A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

A reading list for deep graph learning acceleration.

A medical image converter

TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding (code & data)

Official implementation of Neural Bellman-Ford Networks (NeurIPS 2021)

Medical image viewer using DWV (DICOM Web Viewer) and Vue.js.

Supervised community detection with line graph neural networks

A python framework accelerating ML based discovery in the medical field by encouraging code reuse. Batteries included :)

A graph-based deep learning framework for life science

Graph-based machine learning for chemical property prediction

This is a Pytorch implementation of GraphLIME

2021年计算机视觉技术综述分类汇总

Medical Image Segmentation Toolkit based on PaddlePaddle - 基于paddle的医学影像分割框架

Improved Wasserstein GAN (WGAN-GP) application on medical (MRI) images

This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

Cookbook examples for the Insight Toolkit documented with Sphinx

The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021

Representing Long-Range Context for Graph Neural Networks with Global Attention

An R interface to the NiftyReg medical image registration library

Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with an oral spotlight!) at ML4H Workshop, NeurIPS 2020.

Official website of our paper: Applications of Deep Learning in Fundus Images: A Review. Newly-released datasets and recently-published papers will be updated regularly.

Smart India Hackathon 2019 project given by the Department of Atomic Energy

A fast tool to do image augmentation on GPU(especially elastic_deform), can be helpful to research on Medical Image.

This is the Chinese manual of the graph neural network library DGL, currently contains the User Guide.

Prostate MR Image Segmentation 2012

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

A spherical convolutional neural network for cosmology (TFv1).

Probabilistic Type Inference using Graph Neural Networks

RECOD Titans participation at the ISBI 2017 challenge - Part 3

Papers about explainability of GNNs

An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization

Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning

Flexible Algorithms for Image Registration

Code & data accompanying the ICLR 2020 paper "Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation"

Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)

Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Frauds is less than 0.00005 thus, simply applying Classification Algorithm may result in Overfitting

2D Fourier Transform of Nuclear Magnetic Resonance Imaging raw data

Medical image segmentation ( Eye vessel segmentation)

A collection of deep learning models with a unified API.

Message Passing Neural Networks for Simplicial and Cell Complexes

A curated list of awesome graph & self-supervised-learning-based recommendation.

A list of data mining and machine learning papers that I implemented in 2019.

Medical image viewer using DWV (DICOM Web Viewer) and jQuery Mobile.

This is a paper list about Resource Allocation in Network Functions Virtualization (NFV) and Software-Defined Networking (SDN).

The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)

Locally Private Graph Neural Networks (ACM CCS 2021)

🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba 来自阿里巴巴的一站式大规模图计算系统 图分析 图查询 图机器学习

[ACL 2021] KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction

Framework for the reproducible processing of neuroimaging data with deep learning methods

Convolutional AutoEncoder application on MRI images

Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)

DICOM Adapter is a component of the Clara Deploy SDK which facilitates integration with DICOM compliant systems, enables ingestion of imaging data, helps triggering of jobs with configurable rules and offers pushing the output of jobs to PACS systems.