zibuyu2018

zibuyu2018's Stars

• wangzheng17/awesome-causal-vision

  A curated list of research papers in exploring causality in vision. Link to the code if available is also present.

  23331

• CVHub520/Convolution

  Language:Python9318

• zhoushengisnoob/DeepClustering

  Methods and Implements of Deep Clustering

  2.8k414

• linksense/LightNet

  LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

  Language:Python720175

• ucbdrive/bdd100k

  This repo has been moved to https://github.com/bdd100k/bdd100k permanently.

  Language:Python581163

• mcordts/cityscapesScripts

  README and scripts for the Cityscapes Dataset

  Language:Python2.2k608

• VisionLearningGroup/DANCE

  repository for Universal Domain Adaptation through Self-supervision

  Language:Python12220

• JasmineRain/NAIC_AI-RS

  全国人工智能大赛 华为·昇腾杯 AI+遥感影像 第14名解决方案

  Language:Python6011

• iduta/pyconvsegnet

  Semantic Segmentation PyTorch code for our paper: Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

  Language:Python365

• CuriousAI/mean-teacher

  A state-of-the-art semi-supervised method for image recognition

  Language:Python1.6k333

• CoinCheung/pytorch-loss

  label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

  Language:Python2.2k373

• NVIDIA/apex

  A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

  Language:Python8.4k1.4k

• Hsuxu/Loss_ToolBox-PyTorch

  PyTorch Implementation of Focal Loss and Lovasz-Softmax Loss

  Language:Jupyter Notebook33256

• Anymake/DRN_CVPR2020

  Code and Dataset for CVPR2020 "Dynamic Refinement Network for Oriented and Densely Packed Object Detection"

  Language:Jupyter Notebook32843

• thu-ml/ares

  A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.

  Language:Python48389

• KaiyangZhou/Dassl.pytorch

  A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.

  Language:Python1.2k170

• jindongwang/transferlearning

  Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

  Language:Python13.4k3.8k

• labuladong/fucking-algorithm

  刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

  Language:Markdown126k23.2k

• Panda-Peter/visda2019-multisource

  Source code of our submission (Rank 1) for Multi-Source Domain Adaptation task in VisDA-2019

  Language:Python517

• amirassov/kaggle-imaterialist

  The First Place Solution of Kaggle iMaterialist (Fashion) 2019 at FGVC6

  Language:Python484118

• PistonY/torch-toolbox

  🛠 Toolbox to extend PyTorch functionalities

  Language:Python41756

• chrieke/awesome-satellite-imagery-datasets

  🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

  3.6k642

• Strange-AI/datasets

  Collections of many datasets you may need and play with.

  Language:Shell327

• Tramac/awesome-semantic-segmentation-pytorch

  Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

  Language:Python2.9k584

• open-mmlab/mmdetection

  OpenMMLab Detection Toolbox and Benchmark

  Language:Python29.5k9.5k

• junfu1115/DANet

  Dual Attention Network for Scene Segmentation (CVPR2019)

  Language:Python2.4k483

• zhuqunxi/Urban-Region-Function-Classification

  Language:Python7823

• dmarcosg/DSAC

  Language:Python8023

• tensorflow/tpu

  Reference models and tools for Cloud TPUs.

  Language:Jupyter Notebook5.2k1.8k

• rasbt/deeplearning-models

  A collection of various deep learning architectures, models, and tips

  Language:Jupyter Notebook16.7k4k