QingLyu0828

QingLyu0828's Stars

• XingangPan/DragGAN

  Official Code for DragGAN (SIGGRAPH 2023)

  Language:Python35.7k9951883.4k

• chenfei-wu/TaskMatrix

  Language:Python34.5k3003543.3k

• lllyasviel/ControlNet

  Let us control diffusion models!

  Language:Python30.1k2185482.7k

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  26.9k287412.2k

• facebookresearch/segment-anything-2

  The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook11.1k64259944

• modelscope/facechain

  FaceChain is a deep-learning toolchain for generating your Digital-Twin.

  Language:Jupyter Notebook9k88336843

• facebookresearch/DiT

  Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

  Language:Python6.2k4480544

• openai/consistency_models

  Official repo for consistency models.

  Language:Python6.1k5951412

• sthalles/SimCLR

  PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

  Language:Jupyter Notebook2.2k2058465

• Tencent/MedicalNet

  Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

  Language:Python1.9k6382414

• Project-MONAI/tutorials

  MONAI Tutorials

  Language:Jupyter Notebook1.8k33640675

• HuCaoFighting/Swin-Unet

  [ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

  Language:Python1.7k12117307

• facebookresearch/fastMRI

  A large-scale dataset of both raw MRI measurements and clinical MRI images.

  Language:Python1.3k73115374

• Newbeeer/Poisson_flow

  Code for NeurIPS 2022 Paper, "Poisson Flow Generative Models" (PFGM)

  Language:Python848191358

• adalca/medical-datasets

  tracking medical datasets, with a focus on medical imaging

  7874410118

• JoHof/lungmask

  Automated lung segmentation in CT

  Language:Python6571769151

• Deep-MI/FastSurfer

  PyTorch implementation of FastSurferCNN

  Language:Jupyter Notebook45918236119

• NVlabs/DiffiT

  [ECCV 2024] Official Repository for DiffiT: Diffusion Vision Transformers for Image Generation

  44856414

• rsummers11/CADLab

  Imaging Biomarkers and Computer-Aided Diagnosis Laboratory

  Language:C++4352935187

• MedicineToken/Medical-SAM2

  Medical SAM 2: Segment Medical Images As Video Via Segment Anything Model 2

  Language:Python42265751

• The-Learning-And-Vision-Atelier-LAVA/DASR

  [CVPR 2021] Unsupervised Degradation Representation Learning for Blind Super-Resolution

  Language:Python39199651

• Newbeeer/pfgmpp

  Code for ICML 2023 paper, "PFGM++: Unlocking the Potential of Physics-Inspired Generative Models"

  Language:Python358101435

• cvignac/DiGress

  code for the paper "DiGress: Discrete Denoising diffusion for graph generation"

  Language:Python35369971

• cloneofsimo/consistency_models

  Unofficial Implementation of Consistency Models in pytorch

  Language:Python24815512

• CBICA/CaPTk

  Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk

  Language:C++178599964

• Joyies/Awesome-MRI-Reconstruction

  1516134

• pyushkevich/greedy

  Very fast greedy diffeomorphic registration code

  Language:C++6364117

• bbbbbbzhou/DuDoRNet

  DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior (CVPR 2020)

  Language:Python501813

• crosszamirski/guided-I2I

  Combining image-to-image and class guided denoising diffusion probabilistic models.

  Language:Python45216

• dennishein/cpfgmpp_PCCT_denoising

  Language:Jupyter Notebook6121