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Keras-YOLOv4
yolov4 42.0% mAP.ppyolo 45.1% mAP.miemiedetection
Pytorch and ncnn implementation of PPYOLOE、YOLOX、PPYOLO、PPYOLOv2、PicoDet and so on.Pytorch-PPYOLO
ppyolo in pytorch. 44.8% box mAP.Pytorch-DIOU-YOLOv3
Pytorch复现YOLOv3,使用最新的DIOU loss训练Keras-DIOU-YOLOv3
Keras上700行代码复现YOLOv3!使用DIOU loss。支持将模型导出为pytorch模型。Paddle-YOLOv4
Paddle-YOLOv4,supports training, at least 41.1% mAP.支持训练,至少41.1%mAP。少数的给出精度的复现。miemieGAN
Pytorch implementation of StyleGAN2ADAKeras-PPYOLO-YOLOv4
45.1% mAP, Keras impl of PPYOLO and YOLOv4.Paddle-SOLOv2
Paddle2.0动态图版SOLOv2, 38.8%mask AP.Keras-SOLO
Keras-SOLO(Segmenting Objects by Locations)Keras-DCNv2
Deformable Convolutional Networks v2 with Keras and Tensorflow1.xPytorch-YOLOv4
supports training, at least 41.1% mAP.支持训练,至少41.1%mAP。少数的给出精度的复现。Pure_Python_Deep_Learning
纯Python实现的深度学习框架,帮助你理解底层细节斩获offerPaddlePaddle_yolact
yolact完美复刻版(paddle实现),飞桨论文复现挑战赛参赛作品Paddle-DIOU-YOLOv3
Paddle上实现yolov3算法miemienet
miemienet is a C++ AI deep learning inference framework.Supports PPYOLOE、PICODET.Paddle-PPYOLO
Paddle2.0动态图版PPYOLO, 45.1%box AP.ncnn_ppyolov2
ncnn impl of ppyolov2 and ppyolo and ppyoloe.ncnn
ncnn implementation of StyleGAN2ADA and StyleGAN3.PaddleDetection-SOLOv2
SOLOv2,实时实例分割keras_CartoonGAN
CartoonGAN移植到keras,一个支持穿越次元壁的GAN。Pytorch-FCOS
Paddle-YOLOX
PaddleDetection-release-2.6
miemieyolo
ppgan
PaddlePaddle implementation of Stylegan2ada.ncnn-android-ppyoloe
ncnn3
Paddle-FCOS
FCOS实时版,速度超过YOLOv4miemiecourse
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