文章列表
1. K-Means vs Fuzzy C-Means
2. 什么是最大期望算法(EM Algorithm)
3. Approximate Inference
4. Stochastic Expectation Propagation
5. sort vs deepsort
6. Markov Chain Monte Carlo
7. semi-supervised learning
8. probabilistic graphical model
9. HMM
10. WordEmbedding
11. Gaussian Mixture Model
12. CrossEntropy VS KL Divergence
13. Ensemble Methods
14. 交叉熵和KL散度有什么区别？
15. Deep Learning
16. Foundation of Machine Learning
17. transformer_hongyi
18. Transformer
19. conv
20. 深度学习模型部署总结
21. Logistic Regression defintions in sklearn
22. Expectation Maximization
23. The Exponential Family
关于我
笔记
1. Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs
2. github
3. power
4. codebert
5. vim
6. vim_short
7. codesnippets
8. training
9. dl_machine
10. A review on deeper GNN
11. 直播
12. Highlight of Linear Algebra
13. Graph-Machine-Learning
14. GNNNodeClassification
15. Source Free Unsupervised Graph Domain Adaptation
16. mac配置
17. CIKM2021
18. A review on heterophily graph
19. Matrix_Factorization
20. graph
21. ideas
22. A review on graph classification
直播课
1. 入门深度学习
机器学习
1. 2023-01-10-deriving-categorical-cross-entropy-and-softmax
2. 2022-12-29-a-beginners-guide-to-regularization
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