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[ICLR2021 Outstanding Paper] Rethinking Architecture Selection in Differentiable NAS
Telegram bot implemented by OFFICIAL OpenAI ChatGPT API (gpt-3.5-turbo, released on 2023-03-01)
Run your own GPTChat Telegram bot, with a single command!
💬 Telegram bot with ChatGPT, Python-based, using OpenAI's API.
Master AI BOT 🤖: Unleash the power of GPT-4 Turbo with our fast and limitless Telegram bot. Say goodbye to daily usage limits and laggy interfaces. Explore special chat modes, group chat support, a…
DeepSAR: Vessel Detection in SAR Imagery with Noisy Labels
Contains source code for the winning solution of the xView3 challenge https://iuu.xview.us/.
YOLOv10: Real-Time End-to-End Object Detection
A collection of some awesome public object detection and recognition datasets.
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
Winners of DrivenData's Overhead Geopose Challenge
Contains source code for the winning solution of the xView3 challenge https://iuu.xview.us/.
A Rotation RetinaNet Pytorch Implementation on HRSC and SSDD Dataset.
Remote Sensing Sar-Optical Land-use Classfication Pytorch Pytorch高分辨率遥感语义分割/地物分割/地物分类
Code for this paper: ‘Unsupervised SAR Change Detection Using Two-Stage Pseudo Labels Refining Framework.’
An object detector based on Vision Transformer,anchor-free and no convolution.
[ICIP'24 Oral Presentation] Official implementation of "CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer".
以Swin Transformer作为骨干网络的YoloX目标检测项目
Object tracking pipelines complete with YOLOv9, YOLO-NAS, YOLOv8, and YOLOv7 detection and BYTETracker tracking
Train and Inference your custom YOLO-NAS model by Pytorch on Windows
Train and Inference your custom YOLO-NAS model by Single Command Line
A repo that uses TensorRT to deploy wll-trained models.Support RTDETR,YOLO-NAS,YOLOV5,YOLOV6,YOLOV7,YOLOV8,YOLOX.
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.