liuzhongyyi's starred repositories
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
AdversarialNetsPapers
Awesome paper list with code about generative adversarial nets
deep-learning-papers-translation
深度学习论文翻译，包括分类论文，检测论文等
Surface-Defect-Detection
📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.
YOLOv5-Lite
🍅🍅🍅YOLOv5-Lite: Evolved from yolov5 and the size of model is only 900+kb (int8) and 1.7M (fp16). Reach 15 FPS on the Raspberry Pi 4B~
yolov3-channel-and-layer-pruning
yolov3 yolov4 channel and layer pruning, Knowledge Distillation 层剪枝，通道剪枝，知识蒸馏
awesome-tiny-object-detection
🕶 A curated list of Tiny Object Detection papers and related resources.
fire-smoke-detect-yolov4
fire-smoke-detect-yolov4-yolov5 and fire-smoke-detection-dataset 火灾检测，烟雾检测
yolov5-pytorch
这是一个YoloV5-pytorch的源码，可以用于训练自己的模型。
flexible-yolov5
More readable and flexible yolov5 with more backbone(gcn, resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer, etc) and (cbam，dcn and so on), and tensorrt
Monk_Object_Detection
A one-stop repository for low-code easily-installable object detection pipelines.
Learning-in-practice
learning (Fork 代码的小伙伴留下你们的star吧)
reflective-clothes-detect-yolov5
reflective-clothes-detect-dataset、helemet detection yolov5、工作服(反光衣)检测数据集、安全帽检测、施工人员穿戴检测
Past-and-present-small-object-detection
Latest paper about small object detection
DeepLearningNote
this is all of my code and data with my deep learning note
DeepLearningPapersTranslation
深度学习经典论文翻译
Yolov5-Processing
Multi-backbone, Prune, Quantization, KD
furg-fire-dataset
A dataset and evaluation scheme to provide an straightforward manner to compare the performance of different non-stationary video based fire detectors.
YOLOv6_pro
Make it easier for yolov6 to change the network structure
onnx2tensorRt
tensorRt-inference darknet2onnx pytorch2onnx mxnet2onnx python version
Deep_Learning
深度学习领域论文翻译+理解
yolov4-pruning-thesis
YOLOv4 channel and layer pruning based on https://github.com/tanluren/yolov3-channel-and-layer-pruning