kuangchuan Goto Github PK

02510-mini-project

02510_Task_Project_Slicewise Segmentation for Covid Heart

aistudentprojects

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

approachingalmost

Approaching (Almost) Any Machine Learning Problem

artifact-removal-with-cnn-in-low-dose-computed-tomography

Removing artifacts with U-Net type network in low dose CT

crip

CT Recon in Python: An all-in-one tool for Data IO, Pre/Post-process, Physics, Dual Energy, Low Dose and everything.

itkringartifact

ITK filters to reduce ring artifacts common in x-ray computed tomography.

kuangchuan.github.io

Personal Website: Chuan Kuang (匡川)

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

mmengine

OpenMMLab Foundational Library for Training Deep Learning Models

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

neutompy-toolbox

Python package for tomographic data processing and reconstruction

nlp-loss-pytorch

Implementation of some unbalanced loss like focal_loss, dice_loss, DSC Loss, GHM Loss et.al

physics-arx

Physics-based data augmentation library for quantifying CT and CBCT images in radiotherapy [PMB'23, PMB'21, Medical Physics'21, AAPM'21]

pyramid-ct

A Python code to remove motion artifacts in dynamic computed tomography

qzhang95.github.io

Homepage:

ring-artifact-remover

A simple ring artifact remover for tomography

snapml-examples

IBM Snap ML Examples

teaching-notebooks

Collection of notebooks used for teaching

thorough-pytorch

PyTorch入门教程，在线阅读地址：https://datawhalechina.github.io/thorough-pytorch/

zejiang-unsw.github.io

This is Ze Jiang's personal homepage.