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🦜🔗 The platform for reliable agents.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Free ChatGPT&DeepSeek API Key，免费ChatGPT&DeepSeek API。免费接入DeepSeek API和GPT4 API，支持 gpt | deepseek | claude | gemini | grok 等排名靠前的常用大模型。
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
High-Resolution Image Synthesis with Latent Diffusion Models
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
Denoising Diffusion Probabilistic Models
python library for invisible image watermark (blind image watermark)
这是一个faster-rcnn的pytorch实现的库，可以利用voc数据集格式的数据进行训练。
Official implementation of the paper "The Stable Signature Rooting Watermarks in Latent Diffusion Models"
Pytorch implementation of paper "HiDDeN: Hiding Data With Deep Networks" by Jiren Zhu, Russell Kaplan, Justin Johnson, and Li Fei-Fei
[ICLR 2025] "Robust Watermarking Using Generative Priors Against Image Editing: From Benchmarking to Advances" (Official Implementation)
[NeurIPS 2024] Invisible Image Watermarks Are Provably Removable Using Generative AI
Code of the paper: A Recipe for Watermarking Diffusion Models
[CVPR 2024] Gaussian Shading: Provable Performance-Lossless Image Watermarking for Diffusion Models
[ICLR 2025] An Undetectable Watermark for Generative Image Models
Establishing Robust Generative Image Steganography via Popular Stable Diffusion
[NeurIPS 2025] The official implementation of "T2SMark: Balancing Robustness and Diversity in Noise-as-Watermark for Diffusion Models"
A Watermark-Conditioned Diffusion Model for IP Protection (ECCV 2024)
Latent Watermark: Inject and Detect Watermarks in Latent Diffusion Space