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中文文本分类,TextCNN,TextRNN,FastText,TextRCNN,BiLSTM_Attention,DPCNN,Transformer,基于pytorch,开箱即用。
本项目演示如何在PyTorch中使用Transformer模型进行中文文本分类
clash for windows汉化版. 提供clash for windows的汉化版, 汉化补丁及汉化版安装程序
We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.
🆓免费的 ChatGPT 镜像网站列表,持续更新。List of free ChatGPT mirror sites, continuously updated.
将TT100K数据集转成VOC格式,并且用Python脚本选出45类超过100张的图片和XML
The specific operation steps of packaging the open source dataset GTSDB data annotation file into VOC and YOLO format.
CVPR2021最新论文汇总,主要包括:Transformer, NAS,模型压缩,模型评估,图像分类,检测,分割,跟踪,GAN,超分辨率,图像恢复,去雨,去雾,去模糊,去噪,重建等等
google-access-helper谷歌访问助手2021全版本合集,访问谷歌商店,谷歌搜索,谷歌地图等...
In this project I have tried to do a benchmark comparation between several convolutional neural networks, some of them being predefined from Keras and other being developed from scratch. I am using…
人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial…
🔥🔥🔥 专注于YOLO11,YOLOv8、YOLOv10、RT-DETR、YOLOv7、YOLOv5改进模型,Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀
YOLO Magic🪄 is an extension based on Ultralytics' YOLOv5, designed to provide more powerful functionality and simpler operations for visual tasks.
Latest paper about small object detection
这是一个efficientnet-yolo3-pytorch的源码,将yolov3的主干特征提取网络修改成了efficientnet
visualization点云可视化(open3D, mayavi等)
Pytorch implementation of 'Graph Attention Convolution for Point Cloud Segmentation'
Experiments with Pointnet and GAPNet/GAPointNet. Attention and transformers for point clouds.
Implementation of some machine learning algorithms
Papers and Datasets about Point Cloud.
deep learning for image processing including classification and object-detection etc.
Chinese traffic sign classification using CNN and RF
Merging Convolutional Neural Network and Random Forest
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
基于SVM的简单机器学习分类,可以使用svm, knn, 朴素贝叶斯,决策树四种机器学习方法进行分类