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Xidian University
- P.R. China
- @ZeyiLin_XDU
- https://swanlab.cn
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Convert any PDF into a podcast episode!
🤱🏻 Turn any webpage into a desktop app with Rust. 🤱🏻 利用 Rust 轻松构建轻量级多端桌面应用
🚀🚀🚀 YOLO series of PaddlePaddle implementation, PP-YOLOE+, RT-DETR, YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOv10, YOLOX, YOLOv5u, YOLOv7u, YOLOv6Lite, RTMDet and so on. 🚀🚀🚀
《开源大模型食用指南》基于Linux环境快速部署开源大模型,更适合中国宝宝的部署教程
基于HivisionIDPhotos + Uniapp 实现的微信小程序端
There can be more than Notion and Miro. AFFiNE(pronounced [ə‘fain]) is a next-gen knowledge base that brings planning, sorting and creating all together. Privacy first, open-source, customizable an…
Inpaint anything using Segment Anything and inpainting models.
[CVPR2024] StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On
Official PyTorch implementation of "VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization" (CVPR 2021)
【大模型】3小时完全从0训练一个仅有26M的小参数GPT,最低仅需2G显卡即可推理训练!
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
A set of nodes for ComfyUI that can composite layer and mask to achieve Photoshop like functionality.
[CAAI AIR'24] Bilateral Reference for High-Resolution Dichotomous Image Segmentation
CatVTON is a simple and efficient virtual try-on diffusion model with 1) Lightweight Network (899.06M parameters totally), 2) Parameter-Efficient Training (49.57M parameters trainable) and 3) Simpl…
[ECCV2024] IDM-VTON : Improving Diffusion Models for Authentic Virtual Try-on in the Wild
State-of-the-art 2D and 3D Face Analysis Project
⚡️HivisionIDPhotos: a lightweight and efficient AI ID photos tools. 一个轻量级的AI证件照制作算法。
Umami is a simple, fast, privacy-focused alternative to Google Analytics.
World's most powerful open data catalog for building a high-performance, geo-distributed and federated metadata lake.
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.