CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

INACTIVE: Move your mouse, generate code from flow chart

Achieve the llama3 inference step-by-step, grasp the core concepts, master the process derivation, implement the code.

:fire::fire::fire: 强大的低代码动态表单组件，通过JSON数据驱动表单渲染，适配移动端，支持可视化设计。提高开发者对表单的开发效率。目前在政务系统、OA系统、ERP系统、电商系统、流程管理等系统中已稳定应用。

vue3.x + vite2.x + vant + element-plus H5移动端低代码平台 lowcode 可视化拖拽 可视化编辑器 visual editor 类似易企秀的H5制作、建站工具、可视化搭建工具

Official implementation of PVT series

PaddleSlim is an open-source library for deep model compression and architecture search.

[ICLR 2022] Official implementation of the paper "DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR"

"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023) & (NTIRE 2024 Runner-Up...