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A latent text-to-image diffusion model
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
stable diffusion webui colab
本仓库将PyTorch官方书籍《Deep learning with PyTorch》（基本摘录版）翻译成中文版并给出可运行的相关代码。
Awesome Machine Unlearning (A Survey of Machine Unlearning)
Erasing Concepts from Diffusion Models
This repository accompanies the book "Deep Learning for Vision Systems".
ICML 2023: Reduce, Reuse, Recycle: Composing Energy-Based Diffusion Models with MCMC
This repo contains the code and model weights for Polyp-SAM