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tmtools

:tada:一个用PYQT5写的图形化的多功能电商爬虫小工具

topdeeplearning

A list of popular github projects related to deep learning

tower

Ground Control Station for Android Devices

trainyourownyolo

Train a state-of-the-art yolov3 object detector from scratch!

transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

turbulence-modeling-piml

Data-driven Reynolds stress modeling with physics-informed machine learning

tutorials

PyTorch tutorials.

udp-video-transfer

2019 Deecamp冬令营 - 低延迟视频传输

v2rayl

v2ray linux GUI客户端，支持订阅、vemss、ss等协议，自动更新订阅、检查版本更新

vehicle-license-plate-recognition

基于Python的车牌检测和识别系统

vehicle-logo-recognition

classify 42 car logos with different CNN models

video_obj

基于视频的目标检测算法研究

waste-sorter

webodm

User-friendly, commercial-grade software for processing aerial imagery. 🛩

wpftoolkit

All the controls missing in WPF. Over 1 million downloads.

write-exif-gps

Upload GPS coordinates and focal length from UAV log into photos' EXIF

yet-another-efficientdet-pytorch

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

yolo-9000

YOLO9000: Better, Faster, Stronger - Real-Time Object Detection. 9000 classes!

yolo_object_detection

This is the code for "YOLO Object Detection" by Siraj Raval on Youtube

yolo_tensorflow

tensorflow implementation of 'YOLO : Real-Time Object Detection'

yolo_tensorflow-1

Tensorflow implementation of YOLO, including training and test phase.

yolo_v3_tutorial_from_scratch

Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"

yolov3

YOLOv3 in PyTorch > ONNX > CoreML > iOS

yolov3-1

YOLOv3 Implementation in TensorFlow 1.1X

yolov3-2

Keras implementation of yolo v3 object detection.

yolov3_pytorch

Full implementation of YOLOv3 in PyTorch

yolov4-keras

这是一个YoloV4-keras的源码，可以用于训练自己的模型。

yolov4-pytorch

这是一个YoloV4-pytorch的源码，可以用于训练自己的模型。

yolov5

YOLOv5 in PyTorch > ONNX > CoreML > iOS

yolox

YOLOX is a high-performance anchor-free YOLO. Exceeding yolov3~v5 with ONNX, TensorRT, ncnn, and OpenVINO supported.