1 个仓库
Awesome GitHub RepositoriesPartition Function Estimation
Methods for calculating the normalization constant in probabilistic graphical models using sampling techniques.
Distinct from Pseudo-Likelihood Estimation: Candidates cover pseudo-likelihood (avoiding the function) or general MLE, not the estimation of the function itself.
Explore 1 awesome GitHub repository matching artificial intelligence & ml · Partition Function Estimation. Refine with filters or upvote what's useful.
Awesome Partition Function Estimation GitHub Repositories
用 AI 发现最棒的仓库。我们将通过 AI 为您搜索最匹配的仓库。
- exacity/deeplearningbook-chinese
exacity/deeplearningbook-chinese
37,285在 GitHub 上查看This project is a comprehensive Chinese translation of a technical deep learning textbook, providing an educational resource on the theory and implementation of neural networks. It functions as a collaborative technical translation project designed to make complex academic AI literature accessible to non-English speakers. The project utilizes a community-driven translation model that integrates external suggestions and pull requests to refine linguistic accuracy and reduce bias. It employs standardized terminology mapping to ensure a uniform vocabulary throughout the translated content. To i
Explains the use of importance sampling to calculate model normalization constants.
TeX
