zyx002's Stars
RVC-Boss/GPT-SoVITS
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
Flionay/segmentation-learning-experiment
基于Pytorch框架的语义分割学习,FCN,UNet,DeepLab 基于VOC数据集。
shaoxiongji/federated-learning
A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561
FederatedAI/Practicing-Federated-Learning
MSiam/TFSegmentation
RTSeg: Real-time Semantic Segmentation Comparative Study
LikeLy-Journey/SegmenTron
Support PointRend, Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, EncNet, DuNet, CGNet, CCNet, BiSeNet, PSPNet, ICNet, FCN, deeplab)
ujsyehao/mobilenetv3-ssd
provide pytorch model and ncnn model
tranleanh/mobilenets-ssd-pytorch
MobileNets-SSD/SSDLite on VOC/BDD100K Datasets
mindspore-ai/models
zeusees/License-Plate-Detector
基于Yolov5车牌检测,更快更准.
funzi-son/plant_pathology_dl
bubbliiiing/Mobilenet-SSD-Essay
这是Mobilenet-SSD的论文版,可用于训练与预测。
NVIDIA/DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
bubbliiiing/mobilenet-ssd-keras
这是一个mobilenet-ssd-keras的源码,可以用于训练自己的轻量级ssd模型。
shaoshengsong/MobileNetV3-SSD-Compact-Version
MobileNetV3 SSD的简洁版本
shaoshengsong/MobileNetV3-SSD
MobileNetV3-SSD for object detection and implementation in PyTorch
qq751220449/Car_Detection_SSD_Kalman
基于google官方的models中的SSD_MobileNet网络实现车辆的检测,使用Kalman实现对目标的跟踪
norbertmarko/mobilenet
MobileNet v1/v2 + SkipNet, optimized on TensorRT for real time performance on segmentation tasks.
chuanqi305/MobileNet-SSD
Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.
osmr/imgclsmob
Sandbox for training deep learning networks
YZY-stack/UNet-MobileNet-Pytorch
Using MobileNet as the backbone of UNet
xmojiao/deeplab_v2
基于v2版本的deeplab,使用VGG16模型,在VOC2012,Pascal-context,NYU-v2等多个数据集上进行训练
kutoniea/YOLOv3-Object-Detection-VOC2012
tangzihengtzh/voc2yolo
将VOC格式数据集转换成YOLO格式并分割训练集与测试集
VainF/DeepLabV3Plus-Pytorch
Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes
mli/paper-reading
深度学习经典、新论文逐段精读
facebookresearch/detr
End-to-End Object Detection with Transformers
KeYang8/WITT
TomislavZupanovic/Caltech101
Just my take with Transfer Learning on Caltech101 dataset using ResNet-50 Convolutional Neural Network.