生成模型概览 (Overview of Generative Models)
系统梳理四大主流生成模型——变分自编码器 (VAE)、生成式对抗网络 (GAN)、扩散模型 (DDPM) 和流模型 (Normalizing Flow) 的动机、数学原理及优劣势分析。
#machine-learning
Karpathy LLM 编码指南
旨在减少常见 LLM 编码错误的行事指南，源自 Andrej Karpathy 的观察。
Karpathy LLM Coding Guidelines
Behavioral guidelines to reduce common LLM coding mistakes, derived from Andrej Karpathy's observations.
PML Exercise 3 Solutions
Probabilistic Machine Learning (PML) Chapter 3 Exercise Solutions.
PML Exercise 2 Solutions
Probabilistic Machine Learning (PML) Chapter 2 Exercise Solutions.
PML Exercise 5 Solutions
Probabilistic Machine Learning (PML) Chapter 5 Exercise Solutions.
PML Exercise 4 Solutions
Probabilistic Machine Learning (PML) Chapter 4 Exercise Solutions.
PML Exercise 6 Solutions
Probabilistic Machine Learning (PML) Chapter 6 Exercise Solutions.
Shapley Values and SHAP
Notes on Shapley Values and SHAP algorithms for model interpretability.
A Tutorial on Hawkes Processes for Events in Social Media
霍克斯过程（Hawkes Processes）在社交媒体事件分析中的基础教程，包括点过程基础、自激励机制、模拟采样及参数估计。