sunyuxi

sunyuxi's Stars

• dair-ai/ml-visuals

  🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

  13k113491.4k

• eriklindernoren/PyTorch-YOLOv3

  Minimal PyTorch implementation of YOLOv3

  Language:Python7.3k1037052.6k

• MLNLP-World/Paper-Writing-Tips

  MLNLP社区用来帮助大家避免论文投稿小错误的整理仓库。 Paper Writing Tips

  3.4k453444

• rasterio/rasterio

  Rasterio reads and writes geospatial raster datasets

  Language:Python2.2k1461.8k524

• hithesis/hithesis

  嗨！thesis！哈尔滨工业大学毕业论文LaTeX模板

  Language:TeX1.6k20193362

• TheShadow29/awesome-grounding

  awesome grounding: A curated list of research papers in visual grounding

  99328597

• sentinelsat/sentinelsat

  Search and download Copernicus Sentinel satellite images

  Language:Python97261370241

• osmlab/awesome-openstreetmap

  😎 Curated list of awesome OpenSteetMap-projects

  624295859

• vijishmadhavan/Crop-CLIP

  Crop using CLIP

  Language:Jupyter Notebook3295134

• liangnaiyao/multiview_learning

  3223098

• fitoprincipe/geetools-code-editor

  A set of tools to use in Google Earth Engine Code Editor (JavaScript)

  3001717109

• Clay-foundation/model

  The Clay Foundation Model (in development)

  Language:Python2962112337

• danfenghong/IEEE_TGRS_GCN

  Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot. Graph Convolutional Networks for Hyperspectral Image Classification, IEEE Trans. Geosci. Remote Sens., 2021, 59(7): 5966-5978.

  Language:Python23071368

• Jimut123/jimutmap

  API to get enormous amount of high resolution satellite images from satellites.pro quickly through multi-threading! create map your own map dataset. Bringing data to Humans.

  Language:Python14371217

• zyang-ur/onestage_grounding

  A Fast and Accurate One-Stage Approach to Visual Grounding, ICCV 2019 (Oral)

  Language:Python14321530

• microsoft/snca.pytorch

  Improving Generalization via Scalable Neighborhood Component Analysis

  Language:Python1368724

• danfenghong/ISPRS_S2FL

  Danfeng Hong, JIngliang Hu, Jing Yao, Jocelyn Chanussot, Xiao Xiang Zhu. Multimodal Remote Sensing Benchmark Datasets for Land Cover Classification with A Shared and Specific Feature Learning Model, ISPRS JP&RS, 2021.

  Language:MATLAB972111

• boyangumn/DCN

  This is outdated -- New version: https://github.com/boyangumn/DCN-New

  Language:Python918428

• jwwthu/how-to-research

  This is the repository for how to research.

  813029

• billpsomas/rscir

  Official PyTorch implementation and benchmark dataset for IGARSS 2024 ORAL paper: "Composed Image Retrieval for Remote Sensing"

  Language:Python60201

• michaelthoreau/SearchAndRescueNet

  Language:Jupyter Notebook594012

• postor/DOTA-yolov3

  DOTA database training with yolo | 基于DOTA数据集的yolo训练

  Language:Python5931219

• cplusx/google-street-view-panorama-download

  A python tool to download google street view panorama images with given location

  Language:Jupyter Notebook562326

• ht014/BGAN

  Language:Python4181322

• capellaspace/console-client

  Python SDK for api.capellaspace.com

  Language:Python357115

• CAS-CLab/K-Nearest-Neighbors-Hashing

  Matlab implementation of "K-Nearest Neighbors Hashing" (CVPR2019)

  Language:MATLAB27313

• reyemb/AISExplorer

  This tool allows the identification and tracking of marine vessels by geolocation, MMSI, or via MarineTraffic URLs. It ensures user privacy via proxy support, and includes fallback strategies for optimal performance.

  Language:Python27448

• yolo2233/cross-modal-hasing-playground

  Python implementation of cross-modal hashing algorithms

  Language:Python22333

• ColumbiaDVMM/Anchor-Graph-Hashing

  Language:Matlab16308

• OnatV/ChangeRetrieval

  Language:Jupyter Notebook11