Models and examples built with TensorFlow

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.

[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

pySLAM is a visual SLAM pipeline in Python for monocular, stereo and RGBD cameras. It supports many modern local and global features, different loop-closing methods, a volumetric reconstruction pip…

Implementations of recent research prototypes/demonstrations using MONAI.

Python Heart Rate Analysis Package, for both PPG and ECG signals

Calibrate the camera with ZhangZhengyou method (in both distortion case and no distortion case)

EndoSLAM Dataset and an Unsupervised Monocular Visual Odometry and Depth Estimation Approach for Endoscopic Videos: Endo-SfMLearner

Code for "DeepVideoMVS: Multi-View Stereo on Video with Recurrent Spatio-Temporal Fusion" (CVPR 2021)

OpenCV-Python 相机标定及矫正，张正友相机标定法

Image-enhancement algorithms: low-light enhancement, image restoration, super-resolution reconstruction. 图像增强算法探索：低光增强、图像修复、超分辨率重建 ……

[MedIA 2023/MICCAI 2022 Grand Challenge]: Airway Tree Modeling (ATM'22) Related Work Collections, also includes the state-of-the-art works on pulmonary airway segmentation and related works.

A package for processing signals recorded using wearable sensors, such as Electrocardiogram (ECG), Photoplethysmogram (PPG), Electrodermal activity (EDA) and 3-axis acceleration (ACC).

[MedIA2022 & ICRA2021] Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the Rescue

This github is a supplementary material including data, code, trained model and demo for the paper "NDT-Transformer: Large-Scale 3D Point Cloud Localisation using the Normal Distribution Transform …

A python implement of converting a depth map to point cloud

Airway segmentation from chest CTs using deep Convolutional Neural Networks

Photoplethysmogram-based Real-Time Cognitive Load Assessment Using Multi-Feature Fusion Model

Github pages

Introduction to Point Cloud Processing

Software for automatic segmentation and generation of standardized clinical reports of brain tumors from MRI volumes

[TMI 2024] Geometry-Aware Attenuation Learning for Sparse-View CBCT Reconstruction

Official repository for reproducing COVID and Lung segmentation prediction (old version of MEDPSeg)

Photometric Calibration for Endomapper dataset

A pytorch-based real-time segmentation model for autonomous driving