XueyangLiOSU

XueyangLiOSU's Stars

• corcor27/BUS-Set

  Language:Python151

• MIC-DKFZ/medicaldetectiontoolkit

  The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

  Language:Python1.3k297

• rbgirshick/fast-rcnn

  Fast R-CNN

  Language:Python3.3k1.6k

• MedicineToken/Medical-SAM-Adapter

  Adapting Segment Anything Model for Medical Image Segmentation

  Language:Python97388

• Epiphqny/VisTR

  [CVPR2021 Oral] End-to-End Video Instance Segmentation with Transformers

  Language:Python73994

• MrGiovanni/SyntheticTumors

  [CVPR 2023] Label-Free Liver Tumor Segmentation

  Language:Python30426

• huggingface/diffusers

  🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

  Language:Python25.5k5.3k

• a6o/3d-diffusion-pytorch

  Unofficial Implementation of Novel View Synthesis with Diffusion Models

  Language:Python387

• ubc-tea/SADM-Longitudinal-Medical-Image-Generation

  The official implementation of our IPMI 2023 paper "SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image Generation"

  Language:Python472

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

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

  1.4k141

• MedMNIST/MedMNIST

  [pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification

  Language:Python1.1k163

• FirasGit/medicaldiffusion

  Medical Diffusion: This repository contains the code to our paper Medical Diffusion: Denoising Diffusion Probabilistic Models for 3D Medical Image Synthesis

  Language:Jupyter Notebook33759

• MahatmaSun1/SaConvSLTM

  Self-Attention ConvLSTM for Spatiotemporal Prediction, described in `https://ojs.aaai.org//index.php/AAAI/article/view/6819`, test on MovingMNIST.

  6017

• ndrplz/ConvLSTM_pytorch

  Implementation of Convolutional LSTM in PyTorch.

  Language:Python2k432

• KimUyen/ConvLSTM-Pytorch

  Implementation of ConvLSTM in pytorch applied for BCI (Brain Machine Interface) following paper: Convolutional LSTM Network-A Machine Learning Approach for Precipitation Nowcasting

  Language:Python9620

• chengtan9907/OpenSTL

  OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning

  Language:Python739117

• MarcCoru/crop-type-mapping

  Source code to Rußwurm & Körner 2019. Self-Attention for Raw Optical Satellite Time Series Classification

  Language:Jupyter Notebook15343

• VSainteuf/pytorch-psetae

  PyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention"

  Language:Python18039

• jayavardhanr/End-to-end-Sequence-Labeling-via-Bi-directional-LSTM-CNNs-CRF-Tutorial

  Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

  Language:Jupyter Notebook12171

• cingtiye/Convolutional-Bi-Directional-LSTM-Networks-and-feature-based-gated-recurrent-unit-networks

  Language:OpenEdge ABL141

• SimplifyJobs/New-Grad-Positions

  A collection of full time roles in SWE, Quant, and PM for new grads.

  11.4k1k

• jmg764/Attention-Based-Deep-Multiple-Instance-Learning

  Constructed attention-based deep multiple instance learning model using PyTorch and trained on 624 whole slide images of digitized H&E-stained prostate biopsies using AWS SageMaker’s data parallelism toolkit.

  Language:Jupyter Notebook194