无ROOT权限在服务器安装CUDA和CUDNN教程
这篇教程为无ROOT权限的Ubuntu服务器用户提供了完整的CUDA Toolkit与cuDNN安装指南。采用静默安装模式将CUDA Toolkit部署到用户目录，通过交互式界面调整安装路径并仅保留必要组件。特别指出PyTorch内置版本与本地安装版本的区别，避免开发者误判环境状态。
A Brief Exploration to Variational Autoencoder (VAE) with Code Implementation
Learn variational autoencoder (VAE) by reading and analyzing the paper: "Auto-Encoding Variational Bayes". This post will introduce the basic work of VAE, including the derivation of formulas and simple code verification.
[Skim-read] Generative Modeling by Estimating Gradients of the Data Distribution
This paper introduce a new generative model where samples are produced via Langevin dynamics using gradients of the data distribution estimated with score matching. And it is important to learn Score-Based generative network and Ito diffusion SDE.
[Skim-read] Image Super-Resolution via Iterative Refinement
Image super-resolution with conditional diffusion model.
[Skim-read] Deblurring via Stochastic Refinement
Image deblurring with "predict-and-refine" conditional diffusion model. An brand new strategy for ill-posed problem.