- hmm - Implementation of Hidden Markov Models
- hmm_guide.ipynb is a guide for implementing the HMM algorithms (forward, backward and Viterbi)
- hmm.py contains the implementations described in the guide
- test.py contains an example of usage
- utils.py contains some useful functions
Implementations are based on numpy arrays.
pip install numpy
In order to play with the guides make sure to install Jupyter Notebook.
pip install notebook
git clone https://github.com/katarinaelez/bioinformatics-algorithms
MIT @ Katarina Elez