Pinned Repositories
APA_Obstacle_Distance
APA_Obstacle_Distance
CenterPoint
deap_analysis
DEAP Dataset Analysis Code
deep_learning_note
machine learning,deep learning,review,notes
EEG
PyTorch EEG emotion analysis using DEAP dataset
Focal-Loss-Pytorch
全中文注释.(The loss function of retinanet based on pytorch).(You can use it on one-stage detection task or classifical task, to solve data imbalance influence).用于one-stage目标检测算法,提升检测效果.你也可以在分类任务中使用该损失函数,解决数据不平衡问题.
LaneATT
Code for the paper entitled "Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection" (CVPR 2021)
machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
sca-cnn.cvpr17
Image Captions Generation with Spatial and Channel-wise Attention
tensorflow_stacked_denoising_autoencoder
Implementation of the stacked denoising autoencoder in Tensorflow
ddenglina's Repositories
ddenglina/deap_analysis
DEAP Dataset Analysis Code
ddenglina/EEG
PyTorch EEG emotion analysis using DEAP dataset
ddenglina/sca-cnn.cvpr17
Image Captions Generation with Spatial and Channel-wise Attention
ddenglina/tensorflow_stacked_denoising_autoencoder
Implementation of the stacked denoising autoencoder in Tensorflow
ddenglina/APA_Obstacle_Distance
APA_Obstacle_Distance
ddenglina/CenterPoint
ddenglina/deep_learning_note
machine learning,deep learning,review,notes
ddenglina/Focal-Loss-Pytorch
全中文注释.(The loss function of retinanet based on pytorch).(You can use it on one-stage detection task or classifical task, to solve data imbalance influence).用于one-stage目标检测算法,提升检测效果.你也可以在分类任务中使用该损失函数,解决数据不平衡问题.
ddenglina/LaneATT
Code for the paper entitled "Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection" (CVPR 2021)
ddenglina/machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
ddenglina/neural_collaborative_filtering
Neural Collaborative Filtering
ddenglina/Projects
CTR
ddenglina/pytorch-distributed
A quickstart and benchmark for pytorch distributed training.
ddenglina/PyTorch-YOLOv3
test
ddenglina/Recommend-System-tf2.0
原理解析及代码实战，推荐算法也可以很简单 🔥 想要系统的学习推荐算法的小伙伴，欢迎 Star 或者 Fork 到自己仓库进行学习🚀 有任何疑问欢迎提 Issues，也可加文末的联系方式向我询问！
ddenglina/slam_note
ddenglina/slambook2
edition 2 of the slambook
ddenglina/TF_Cookbook
《Tensorflow机器学习实战指南》自我学习代码，校正代码bug和书籍翻译中的错误，增加中文注释。（未完成，持续更新）
ddenglina/ToolBox
一些常用的工具，读excel,画图等
ddenglina/yolov5-v6.1-opencv-onnxrun
分别使用OpenCV、ONNXRuntime部署yolov5-v6.1目标检测，包含C++和Python两个版本的程序。支持yolov5s，yolov5m，yolov5l，yolov5n，yolov5x，yolov5s6，yolov5m6，yolov5l6，yolov5n6，yolov5x6的十种结构的yolov5-v6.1