This is a repository for algorithm implementation and testing.
Outline
| Algorithm | Description | Link |
|---|---|---|
| EM | Expectation-Maximization Algorithm for parameter esimation. | Code |
| MatrixFactorization | An implementation of matrix factorization | Code |
| LSH | Pretty large scale implementation of Locality-Sensitive-Hash. | Doc |
| Bandit | Contextual bandit algorithm comparation including Greedy epsilon, UCB and Thompson sampling. | Code |
| LIME | An instance level explainable algorithm framework for machine learning models. | Code |
| MiniRNN | Implement of a simple RNN on text generation and used for lyrics generation. | Code |
| VAE | VAE(Variational Autoencoder) tutorial. | Code |
| Neural Style Transfer | Tutorial: Neual Transfer Using PyTorch. | Code |
| BERT | BERT is a pre-train language model | Doc |