rrq980220

rrq980220's Stars

• zkl20061823/JTFN

  Joint Topology-preserving and Feature-refinement Network for Curvilinear Structure Segmentation (ICCV21)

  Language:Python264

• hg153/DenseUnet

  Modified U-Net for pavement crack segmentation

  Language:Jupyter Notebook5

• khanhha/crack_segmentation

  This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Tiramusu

  Language:Python368125

• LouisNUST/CrackFormer-II

  Language:Python333

• d2l-ai/d2l-zh

  《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

  Language:Python60.9k10.8k

• 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 Notebook10.2k777

• mistralai/mistral-inference

  Official inference library for Mistral models

  Language:Jupyter Notebook9.5k835

• HuiZhang0812/DiffusionAD

  Language:Python14015

• KindXiaoming/pykan

  Kolmogorov Arnold Networks

  Language:Jupyter Notebook14.4k1.3k

• qinnzou/DeepCrack

  DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection

  Language:Python24157

• tongzheng1992/Pavementscapes

  This is the available data for the paper `Pavementscapes: a large-scale hierarchical image dataset for asphalt pavement damage segmentation' (arXiv:2208.00775)

  Language:Jupyter Notebook9

• r-three/t-few

  Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"

  Language:Python42258

• microsoft/LoRA

  Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

  Language:Python10.2k654

• adarobustness/adaptation_robustness

  Evaluate robustness of adaptation methods on large vision-language models

  Language:Shell15

• JamesQFreeman/LoRA-ViT

  Low rank adaptation for Vision Transformer

  Language:Python33815

• mlfoundations/open_clip

  An open source implementation of CLIP.

  Language:Python9.7k950

• UX-Decoder/Semantic-SAM

  [ECCV 2024] Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"

  Language:Python2.2k107

• MedicineToken/Medical-SAM-Adapter

  Adapting Segment Anything Model for Medical Image Segmentation

  Language:Python93583

• MzeroMiko/VMamba

  VMamba: Visual State Space Models，code is based on mamba

  Language:Python2k112

• microsoft/unilm

  Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

  Language:Python19.4k2.5k

• SysCV/sam-hq

  Segment Anything in High Quality [NeurIPS 2023]

  Language:Python3.6k218

• extreme-assistant/ICCV2023-Paper-Code-Interpretation

  ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理

  2.3k1.4k

• itsprakhar/Downstream-Dinov2

  Downstream-Dino-V2: A GitHub repository featuring an easy-to-use implementation of the DINOv2 model by Facebook for downstream tasks such as Classification, Semantic Segmentation and Monocular depth estimation.

  Language:Jupyter Notebook17511

• ahmetbersoz/chatgpt-prompts-for-academic-writing

  This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans.

  2.7k229

• houqb/CoordAttention

  Code for our CVPR2021 paper coordinate attention

  Language:Python995121

• janghyuncho/PiCIE

  PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in clustering (CVPR2021)

  Language:Jupyter Notebook19032

• isl-org/lang-seg

  Language-Driven Semantic Segmentation

  Language:Jupyter Notebook70386

• CASIA-IVA-Lab/AnomalyGPT

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

  Language:Python72688

• srwi/EverythingToolbar

  Everything integration for the Windows taskbar.

  Language:C#9.5k414

• GothicAi/InstaBoost-pypi

  Language:Python4711