🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

Main OpenCap processing pipeline

A new two-class HMM-GMM model to differentiate gait patterns between healthy controls and Huntington's Disease patients

A curated, public list of resources for biomechanics and human motion analysis: datasets, processing tools, software for simulation, educational videos, lectures, etc.

DoctorGPT is an LLM that can pass the US Medical Licensing Exam. It works offline, it's cross-platform, & your health data stays private.

Deep Learning Transformer models in MATLAB

信息安全方面的书籍书籍

Prediction of Total Knee Replacement and Diagnosis of Osteoarthritis using Deep Learning on Knee Radiographs: Data from the Osteoarthritis Initiative

Discover pretrained models for deep learning in MATLAB

Final project for Visual Analytics course at Aarhus University (S2023)

Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)

I also attempt to implement a Convolutional Neural Network for price prediction based on a paper

Custom static optimization implementation that allows for flexible cost terms, such as EMG tracking, as well as the incorporation of passive muscle forces and tendon compliance.

Statistical Shape Modeling

医学影像数据集列表 『An Index for Medical Imaging Datasets』

Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System

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

The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Python. The Toolbox realizes LRP functionality for the Caffe D…

Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

Predict the knee adduction moment using motion capture marker positions.

Knee MRI cartilage segmentation model used in 2019 IWOAI segmentation challenge