Paper list and resources on machine learning for brain image (e. g. fMRI and sMRI) analysis.

Code for ICDM2021 paper 'GNES: Learning to Explain Graph Neural Networks'

计算精神病学在线文献报告讨论会(Computational psychiatry online journal club(CPoJC))

Interesting resources related to XAI (Explainable Artificial Intelligence)

Tutorial codes for modeling brains with neural nets

Python Machine Learning Toolbox for Brain Network Classification. Source codes are included of the top 20 teams in the Kaggle competition.

Welcome to Keras Deep Learning on Graphs (Keras-DGL) http://vermaMachineLearning.github.io/keras-deep-graph-learning

Collaboration with Boston Children's Hospital, Boston University, and Red Hat to improve the scale and performance of the ChRIS project

Implementation of "Data augmentation using learned transforms for one-shot medical image segmentation"

Portfolio Project for DSR: Modelling Parkinson Disease Progression

Python package built to ease deep learning on graph, on top of existing DL frameworks.

NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

Demo notebook for Parkinson's Pose Estimation Dataset

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

A collection of awesome resources in Human Pose estimation.

Atchitectures of deep neural network for gait recognition and human pose estimation with pre-trained models

A game theoretic approach to explain the output of any machine learning model.

机器学习原理

A curated list of awesome responsible machine learning resources.

Papers on Graph neural network(GNN)

A curated list of awesome network analysis resources.

A curated list of network embedding techniques. (We will not update in the future)