Maruonee

Maruonee's Stars

• RuiyangJu/Fracture_Detection_Improved_YOLOv8

  YOLOv8-AM: YOLOv8 with Attention Mechanisms for Pediatric Wrist Fracture Detection

  Language:Python3517

• 17000cyh/IMDiffusion

  Language:Python547

• arkanivasarkar/Retinal-Vessel-Segmentation-using-variants-of-UNET

  Retinal vessel segmentation using U-NET, Res-UNET, Attention U-NET, and Residual Attention U-NET (RA-UNET)

  Language:Python7417

• aws/studio-lab-examples

  Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!

  Language:Jupyter Notebook616179

• Maruonee/Tlabb

  Language:Jupyter Notebook1

• milesial/Pytorch-UNet

  PyTorch implementation of the U-Net for image semantic segmentation with high quality images

  Language:Python8.8k2.4k

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python52.3k5.4k

• DeLightCMU/PSA

  This is an official implementation of "Polarized Self-Attention: Towards High-quality Pixel-wise Regression"

  Language:Python24131

• NVIDIA/semantic-segmentation

  Nvidia Semantic Segmentation monorepo

  Language:Python1.8k388

• OpenGVLab/InternImage

  [CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions

  Language:Python2.4k228

• abreheret/PixelAnnotationTool

  Annotate quickly images.

  Language:C++1.4k300

• Jongchan/attention-module

  Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

  Language:Python2k400

• HaloTrouvaille/YOLO-Multi-Backbones-Attention

  Model Compression—YOLOv3 with multi lightweight backbones(ShuffleNetV2 HuaWei GhostNet), attention, prune and quantization

  Language:Python491119

• AndyHuang1995/Image-Contrast-Enhancement

  Python implementation of "A New Image Contrast Enhancement Algorithm Using Exposure Fusion Framework", CAIP2017

  Language:Python506114

• SwinTransformer/Swin-Transformer-Object-Detection

  This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.

  Language:Python1.8k376

• microsoft/SoftTeacher

  Semi-Supervised Learning, Object Detection, ICCV2021

  Language:Python894122

• microsoft/GLIP

  Grounded Language-Image Pre-training

  Language:Python2.1k189

• microsoft/Swin-Transformer

  This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

  Language:Python13.4k2k

• baaivision/EVA

  EVA Series: Visual Representation Fantasies from BAAI

  Language:Python2.1k154

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python30.9k4.7k

• open-mmlab/mmpose

  OpenMMLab Pose Estimation Toolbox and Benchmark.

  Language:Python5.4k1.2k

• MVIG-SJTU/AlphaPose

  Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System

  Language:Python7.9k2k

• ViTAE-Transformer/ViTPose

  The official repo for [NeurIPS'22] "ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation" and [TPAMI'23] "ViTPose++: Vision Transformer for Generic Body Pose Estimation"

  Language:Python1.3k172

• jaehyunnn/ViTPose_pytorch

  An unofficial implementation of ViTPose [Y. Xu et al., 2022]

  Language:Jupyter Notebook9520

• latex3/latex3

  The expl3 (LaTeX3) Development Repository

  Language:TeX1.9k182

• niehusst/YOLO-Cancer-Detection

  An implementation of the YOLO algorithm trained to spot tumors in DICOM images.

  Language:Python41

• ben-heil/DICOM-CNN

  Convolutional neural network solution for deep learning from DICOM images

  Language:Python5727

• hustvl/YOLOP

  You Only Look Once for Panopitic Driving Perception.（MIR2022）

  Language:Python1.9k403

• WongKinYiu/yolor

  implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

  Language:Python2k522

• Tianxiaomo/pytorch-YOLOv4

  PyTorch ,ONNX and TensorRT implementation of YOLOv4

  Language:Python4.5k1.5k