amirmohammadnsh

amirmohammadnsh's Stars

• huggingface/peft

  🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

  Language:Python16.4k1111.1k1.6k

• 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

• facebookresearch/mae

  PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

  Language:Python7.3k561921.2k

• conda-forge/miniforge

  A conda-forge distribution.

  Language:Shell6.5k54381331

• facebookresearch/dino

  PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

  Language:Python6.4k67247910

• ChaoningZhang/MobileSAM

  This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!

  Language:Jupyter Notebook4.8k43125503

• facebookresearch/deit

  Official DeiT repository

  Language:Python4.1k47197556

• facebookresearch/vissl

  VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

  Language:Jupyter Notebook3.3k54173333

• bowang-lab/MedSAM

  Segment Anything in Medical Images

  Language:Jupyter Notebook3k22291417

• OpenGVLab/SAM-Med2D

  Official implementation of SAM-Med2D

  Language:Jupyter Notebook876136982

• NVlabs/MambaVision

  Official PyTorch Implementation of MambaVision: A Hybrid Mamba-Transformer Vision Backbone

  Language:Python811174043

• YichiZhang98/SAM4MIS

  SAM & SAM 2 for Medical Image Segmentation: Open-Source Project Summary

  76021456

• uni-medical/SAM-Med3D

  SAM-Med3D: An Efficient General-purpose Promptable Segmentation Model for 3D Volumetric Medical Image

  Language:Python51768467

• mahmoodlab/HIPT

  Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)

  Language:Jupyter Notebook511117090

• hitachinsk/SAMed

  The implementation of the technical report: "Customized Segment Anything Model for Medical Image Segmentation"

  Language:Python48545746

• MedicineToken/Medical-SAM2

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

  Language:Python46766457

• yuantn/MI-AOD

  Code for Multiple Instance Active Learning for Object Detection, CVPR 2021

  Language:Python333310343

• JamesQFreeman/Sam_LoRA

  Low rank adaptation for segmentation anything model (SAM)

  Language:Python2065314

• mazurowski-lab/finetune-SAM

  This is an official repo for fine-tuning SAM to customized medical images.

  Language:Python13821722

• YimianDai/open-acm

  code and trained models for "Asymmetric Contextual Modulation for Infrared Small Target Detection"

  Language:Python10741717

• SauravMaheshkar/samv2

  CPU compatible fork of the official SAMv2 implementation aimed at more accessible and documented tutorials

  Language:Python49237

• liupei101/PseMix

  [IEEE TMI 2024] Pseudo-Bag Mixup Augmentation for Multiple Instance Learning-Based Whole Slide Image Classification

  Language:Python45373

• MCG-NJU/CoMAE

  [AAAI 2023 Oral] CoMAE: Single Model Hybrid Pre-training on Small-Scale RGB-D Datasets

  Language:Python34244

• cvlab-stonybrook/SAMPath

  Repository for "SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology" (MedAGI2023, MICCAI2023 workshop)

  Language:Python307186

• simzhangbest/SAM2PATH

  SAM2PATH paper code repo

  Language:Python23231

• levayz/ProtoSAM

  Code implementation of ProtoSAM - One Shot Medical Image Segmentation with Foundationl Models

  Language:Python19242

• stefyste/RIAWELC

  Radiographic image dataset for weld defects classification

  1720

• Dinghaoxuan/SamLP

  Language:Python15223

• YSongxiao/MedSAMonLaptop_RepViT

  The official implementation of "A Light-weight Universal Medical Segmentation Network for Laptops Based on Knowledge Distillation" (CVPR 2024 Workshop)

  Language:Python1120

• anasiri/BU-Mamba

  Vision Mamba for Classification of Breast Ultrasound Images [MICCAI 2024, Deep-Breath Workshop]

  Language:Python6200