added yahmm

yahmm is a hidden Markov model package for Python, which is implemented
in Cython for speed, uses sparse matrices for memory efficiency, and
aims to be comprehensive in scope.
This commit is contained in:
Jacob Schreiber 2014-11-22 19:37:46 -08:00
parent 5550977f05
commit 883c7c1e58

View File

@ -568,6 +568,7 @@ on MNIST digits[DEEP LEARNING]
* [Spearmint](https://github.com/JasperSnoek/spearmint) - Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012.
* [Pebl](https://github.com/abhik/pebl/) - Python Environment for Bayesian Learning
* [Theano](https://github.com/Theano/Theano/) - Optimizing GPU-meta-programming code generating array oriented optimizing math compiler in Python
* [yahmm](https://github.com/jmschrei/yahmm/) - Hidden Markov Models for Python, implemented in Cython for speed and efficiency.
<a name="python-data-analysis" />
#### Data Analysis / Data Visualization