Diffusers:用于在 PyTorch 中进行图像、视频和音频生成的最先进扩散模型。
score-based-generative-modeling 开源项目推荐(51 个)
score-based-generative-modeling 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 51 个仓库通过随机方程实现基于分数的生成式建模的PyTorch实现(ICLR 2021,Oral)
通过随机方程进行基于分数的生成式建模的官方代码(ICLR 2021,Oral)
"Deep Generative Modeling": Introductory Examples
关于扩散模型的关键论文和博客总结,帮助你了解该主题。所有已发表的扩散机器人论文详细列表。
Noise Conditional Score Networks (NeurIPS 2019, Oral)
The official PyTorch implementation for NCSNv2 (NeurIPS 2020)
Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (ICML 2022)
Official PyTorch implementation of the paper Progressive Deblurring of Diffusion Models for Coarse-to-Fine Image Synthesis.
Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
该项目在 GitHub 上没有填写描述
Implementation of DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing
This repository implements time series diffusion in the frequency domain.
Ying Nian Wu's UCLA Statistical Machine Learning Tutorial on generative modeling.
Official implementation of the Fourier-constrained diffusion bridges (FDB) model for MRI reconstruction
A simple and intuitive library for diffusion models using Flax and Jax. Includes detailed notebooks on DDPM, DDIM, and EDM with simplified mathematical explanations. Made as part of my journey for learning and experimenting with generative AI.
Model Zoo for Generative Models.
Minimal unofficial implementation of Consistency Trajectory models on a 1D toy task.
Score-based Diffusion models in JAX.
Code for "Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance", NeurIPS 2022
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/score-based-generative-modeling。
- 该话题在 GitHub 上共有 51 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 4.3 万 Star,覆盖 2 种主要语言,数据更新于 2026-11-06。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。