ChanAndy

ChanAndy's Stars

• PlexPt/awesome-chatgpt-prompts-zh

  ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。

  52.6k3439613.5k

• openai/CLIP

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  Language:Jupyter Notebook25.7k3234023.3k

• zhile-io/pandora

  潘多拉，一个让你呼吸顺畅的ChatGPT。Pandora, a ChatGPT client that lets you breathe freely.

  Language:Python5.4k30255956

• Janspiry/Palette-Image-to-Image-Diffusion-Models

  Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch

  Language:Python1.5k17100203

• amirhossein-kz/Awesome-Diffusion-Models-in-Medical-Imaging

  Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

  1.5k389144

• yandex-research/ddpm-segmentation

  Label-Efficient Semantic Segmentation with Diffusion Models (ICLR'2022)

  Language:Python66073460

• ljwztc/CLIP-Driven-Universal-Model

  [ICCV 2023] CLIP-Driven Universal Model; Rank first in MSD Competition.

  Language:Python57388169

• thuyngch/Human-Segmentation-PyTorch

  Human segmentation models, training/inference code, and trained weights, implemented in PyTorch

  Language:Jupyter Notebook5571133114

• Ainimal/Aini_Modules

  A PyTorch Computer Vision (CV) module library for building n-D networks flexibly ~

  Language:Python50032763

• ubicomplab/rPPG-Toolbox

  rPPG-Toolbox: Deep Remote PPG Toolbox (NeurIPS 2023)

  Language:Python48212160117

• phuselab/pyVHR

  Python framework for Virtual Heart Rate

  Language:HTML4571681128

• RL4M/IRENE

  Language:Python3627633

• ZhexinLiang/CLIP-LIT

  [ICCV 2023, Oral] Iterative Prompt Learning for Unsupervised Backlit Image Enhancement

  Language:Python28252425

• remotebiosensing/rppg

  Benchmark Framework for fair evaluation of rPPG

  Language:Python254131230

• liuquande/FedDG-ELCFS

  [CVPR'21] FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space

  Language:Python23681733

• simontomaskarlsson/GAN-MRI

  Code repository for Frontiers article 'Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT'

  Language:Python22772177

• xliucs/MTTS-CAN

  Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement (NeurIPS 2020)

  Language:Python16983554

• fingerk28/Two-stage-Knowledge-For-Multiple-Adverse-Weather-Removal

  [CVPR 2022] Learning Multiple Adverse Weather Removal via Two-stage Knowledge Learning and Multi-contrastive Regularization: Toward a Unified Model

  Language:Python14041716

• KegangWangCCNU/PhysBench

  Simple, fast, and fair evaluation of remote physiological sensing models

  Language:Jupyter Notebook812146

• philippwerner/pain-database-list

  A list of pain recognition databases that are publicly available for research

  69218

• longzilicart/pip_universal

  Language:Python41290

• fiy2W/mri_seq2seq

  Synthesis Models for Multi-Sequence MRIs

  Language:Python32124

• tym002/Hyper-Convolution

  Hyper-Convolution Networks for Biomedical Image Segmentation

  Language:Python29212

• ostadabbas/Infant-Respiration-Estimation

  Automatic Infant Respiration Estimation from Video: A Deep Flow-based Algorithm and a Novel Public Benchmark (MICCAIW'23))

  Language:Python17341

• marshb/NBHRnet

  The code for NBHRnet submission.

  Language:Python5353

• MedcAILab/FedBCa

  A multi-center MRI dataset of bladder cancer for boosting federated learning-based research and clinical application

  Language:Python51

• ChanAndy/kits19

  The official repository of the 2019 Kidney and Kidney Tumor Segmentation Challenge

  Language:Python1000

• ChanAndy/Medical-image-preprocessing

  I will upload some code that I usually write, just for sharing

  Language:Python1100

• ChanAndy/scikit-radiomics

  scikit-radiomics’s documentation!

  Language:Python1000

• XuezhiZhou/Response-Prediction

  the code for the paper "Attention mechanism based multi-sequence MRI fusion improves prediction of response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer".

  Language:Python1