Stars
Industry leading face manipulation platform
FaceChain is a deep-learning toolchain for generating your Digital-Twin.
🔥前端 vue3.0 + typescript 三维可视化 数字城市 数字孪生 选用 cesium开源GIS库 加入 主流地图 WebGL效果 完全开源 配合后台 实现可视化编辑保存
This repository includes the constructed US-4 dataset and the code for USCL (PyTorch version).
Stable Diffusion web UI
Code of the experiments ran in our GigaScience article: "Benchmarking missing-values approaches for predictive models on health databases".
【超全golang面试题合集+golang学习指南+golang知识图谱+入门成长路线】 一份涵盖大部分golang程序员所需要掌握的核心知识。常用第三方库(mysql,mq,es,redis等)+机器学习库+算法库+游戏库+开源框架+自然语言处理nlp库+网络库+视频库+微服务框架+视频教程+音频音乐库+图形图片库+物联网库+地理位置信息+嵌入式脚本库+编译器库+数据库+金融库+电子邮件库…
《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀
🌷 awesome awesome go, study golang from basic to proficient。Go Study Guide。从学习 Go 基础语法和高级特性,到实战项目,再到架构微服务,最后到跑路。
Skin changer for League of Legends (LOL)
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集,极市团队整理
Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Code Release for MViTv2 on Image Recognition.
Video Swin Transformer - PyTorch
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
Example deep learning projects that use wandb's features.
[MICCAI'22] Unsupervised Contrastive Learning on Gall Bladder Ultrasound Videos
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
🎨 Code for "No-Reference Quality Assessment of Contrast-Distorted Images using Contrast Enhancement" by J. Yan, J. Li, X. Fu