rdadan's repositories
annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
CPlusPlusThings
C++那些事
CVPR2023-Papers-with-Code
CVPR 2023 论文和开源项目合集
diffusion-models-class
Materials for the Hugging Face Diffusion Models Course
DWSF-Watcermarking-
code repository for Practical Deep Dispersed Watcermarking with Synchronization
fork_blind_watermark
Blind&Invisible Watermark ,图片盲水印,提取水印无须原图!
fork_Convolutional-Neural-Network-Based-Image-Watermarking-using-Discrete-Wavelet-Transform
Convolutional neural network-based image watermarking using discrete wavelet transform
fork_dnn-watermark
Implementation of "Embedding Watermarks into Deep Neural Networks," in Proc. of ICMR'17.
fork_ssl_watermarking
Official implementation of "Watermarking Images in Self-Supervised Latent-Spaces"
forkHiNet
Official PyTorch implementation of "HiNet: Deep Image Hiding by Invertible Network" (ICCV 2021)
HackReport
渗透测试报告/资料文档/渗透经验文档/安全书籍
ICCV2023-Papers-with-Code
ICCV 2023 论文和开源项目合集
invisible-watermark
python library for invisible image watermark (blind image watermark)
linux_high_performance
linux 高性能服务器编程学习
MMIF-DDFM
[ICCV 2023 Oral] Official implementation for "DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion."
pytorch-stable-diffusion
pytorch复现stable diffusion
RateMySupervisor
永久免费开源的导师评价数据、数据爬虫、无需编程基础的展示网页以及新信息补充平台
SteganoGAN
SteganoGAN is a tool for creating steganographic images using adversarial training.
sylar
C++高性能分布式服务器框架,webserver,websocket server,自定义tcp_server(包含日志模块,配置模块,线程模块,协程模块,协程调度模块,io协程调度模块,hook模块,socket模块,bytearray序列化,http模块,TcpServer模块,Websocket模块,Https模块等, Smtp邮件模块, MySQL, SQLite3, ORM,Redis,Zookeeper)
tcp_ip_network
tcp_ip_network 学习笔记 韩 尹圣雨
The-A-Files
Implementations of audio watermarking methods, speech quality metrics and attacks in different domains.