zx-pan

zx-pan's Stars

• facebookresearch/segment-anything

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

  Language:Jupyter Notebook47k3056625.6k

• joonspk-research/generative_agents

  Generative Agents: Interactive Simulacra of Human Behavior

  16.4k1341252.1k

• pengsida/learning_research

  本人的科研经验

  5.6k6928335

• bowang-lab/MedSAM

  Segment Anything in Medical Images

  Language:Jupyter Notebook2.8k20281385

• ytongbai/LVM

  Language:Python1.7k1212254

• MCG-NJU/VideoMAE

  [NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

  Language:Python1.3k16120134

• CASIA-IVA-Lab/AnomalyGPT

  [AAAI 2024 Oral] AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models

  Language:Python775710895

• Shenggan/BCCD_Dataset

  BCCD (Blood Cell Count and Detection) Dataset is a small-scale dataset for blood cells detection.

  Language:Python373117207

• ge-xing/SegMamba

  SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation

  Language:Python33764717

• nachifur/RDDM

  CVPR 2024: Residual Denoising Diffusion Models

  Language:Python32323030

• TIO-IKIM/CellViT

  CellViT: Vision Transformers for Precise Cell Segmentation and Classification

  Language:Python21766333

• duyhominhnguyen/LVM-Med

  Release LMV-Med pre-trained models

  Language:Python17831723

• arimousa/DDAD

  Language:Python15284127

• MediaBrain-SJTU/MVFA-AD

  [CVPR2024 Highlight] Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images

  Language:Python12521218

• ZitongYu/PhysFormer

  PhysFormer CVPR2022

  Language:Python11362317

• LibertFan/AI_Hospital

  AI Hospital: Interactive Evaluation and Collaboration of LLMs as Intern Doctors for Clinical Diagnosis

  Language:Python1051114

• lewandofskee/MambaAD

  [NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.

  Language:Python86680

• hasan1292/mDDPM

  Unsupervised Anomaly Detection in Medical Images Using Masked Diffusion Model

  Language:Python75457

• AnweshCR7/RhythmNet

  End-to-end Heart Rate Estimation from Face via Spatial-temporal Representation. A replication of the RhythmNet model.

  Language:Python572613

• huzeyann/BrainDecodesDeepNets

  PyTorch implementation of "Brain Decodes Deep Nets"

  Language:Jupyter Notebook52344

• neuhai/Mental-LLM

  The repo for paper "Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data"

  46104

• checkcrab/SDSB

  Simplified Diffusion Schrödinger Bridge

  Language:Python45101

• King-HAW/GMS

  Official repository of Generative Medical Segmentation

  Language:Python40343

• FinnBehrendt/patched-Diffusion-Models-UAD

  Codebase for Patched Diffusion Models for Unsupervised Anomaly Detection .

  Language:Python371119

• linuxsino/rPPG-MAE

  Language:Python32101

• FeliMe/feature-autoencoder

  Anomaly localization using autoencoder models in the feature space of a ResNet

  Language:Python19200

• ci-ber/autoDDPM

  Code for https://arxiv.org/abs/2305.19643

  Language:Python10112

• mahfuzmohammad/Brainomaly

  [WACV 2024] Official PyTorch implementation of Brainomaly

  Language:Python10403

• FeliMe/brain_sas_baseline

  Official implementation of the paper "Challenging Current Semi-Supervised Anomaly Segmentation Methods for Brain MRI" accepted to the MICCAI 2021 BrainLes workshop

  Language:Python9101

• zx-pan/Awesome-rPPG

  A curated list of resources and papers on rPPG (continually updated)

  6100