Latex code for making neural networks diagrams

Visualizer for neural network, deep learning and machine learning models

🤯 Lobe Chat - an open-source, modern-design AI chat framework. Supports Multi AI Providers( OpenAI / Claude 3 / Gemini / Ollama / Qwen / DeepSeek), Knowledge Base (file upload / knowledge managemen…

Master programming by recreating your favorite technologies from scratch.

This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.

Monocular, One-stage, Regression of Multiple 3D People and their 3D positions & trajectories in camera & global coordinates. ROMP[ICCV21], BEV[CVPR22], TRACE[CVPR2023]

The project is an official implementation of our paper "A Lightweight Graph Transformer Network for Human Mesh Reconstruction from 2D Human Pose".

The project is an official implementation of our paper "3D Human Pose Estimation with Spatial and Temporal Transformers".

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

Open source implementation of "Vision Transformers Need Registers"

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

BiCF demo videos

Simple Multi Person Tracker implementation in PyTorch

list of papers, code, and other resources

fitlog是一款在深度学习训练中用于辅助用户记录日志和管理代码的工具

[CVPR 2024] TokenHMR: Advancing Human Mesh Recovery with a Tokenized Pose Representation

[IROS 2024 Oral Pitch] PyTorch Implementation of "Dual-Branch Graph Transformer Network for 3D Human Mesh Reconstruction from Video"

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Awesome Docker Compose samples

Recent years' deep learning top conference plug-and-play module code and papers.

🔧 炼丹炉，一堆即插即用的模块，用于深度学习

External Attention Network

油猴等插件的 学习强国 js 代码 45分/天

强国通 科技强国 学习强国 xuexiqiangguo 全网最好用开源网页学习强国助手：TechXueXi （懒人刷分工具 自动学习）技术强国，支持答题，支持 docker 45分/天

Spring Boot & Spring Cloud & Spring Security Demo Case（Spring学习示例实战项目）

一个简单的数据库实现

[CVPR 2023] Official implementation of the paper "One-Stage 3D Whole-Body Mesh Recovery with Component Aware Transformer"

media(audio/image/qrcode/markdown/html/svg/png) support (多媒体编辑服务, 酷炫二维码, 音频, 图片, svg, markdown, html渲染服务支持)

[ECCV'22] Official PyTorch Implementation of "Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with Transformers"