# Resources

Interpretability is a new and evolving field, so collating all the resources useful for using the package and work on open problems.

<!-- ### Transformers

- [The Illustrated Transformer by Jay Alammar](https://jalammar.github.io/illustrated-transformer/)
- [The Annotated Transformer](https://nlp.seas.harvard.edu/2018/04/03/attention.html) -->

### Hidden Markov Models

- [Hidden Markov Models Simplified](https://medium.com/@postsanjay/hidden-markov-models-simplified-c3f58728caab)
- [Hidden Markov Model Series](https://medium.com/analytics-vidhya/hidden-markov-model-part-1-of-the-hmm-series-3f7fea28a08)