larsmans / seqlearn
Sequence learning toolkit for Python
☆693Updated last year
Alternatives and similar repositories for seqlearn:
Users that are interested in seqlearn are comparing it to the libraries listed below
- Bayesian Python: Bayesian inference tools for Python☆692Updated 3 months ago
- Hidden Markov Models in Python, with scikit-learn like API☆3,099Updated 2 months ago
- Yet Another Hidden Markov Model repository.☆247Updated 9 years ago
- Simple structured learning framework for python☆665Updated 3 years ago
- Python package for Bayesian Machine Learning with scikit-learn API☆515Updated 3 years ago
- optimization routines for hyperparameter tuning☆418Updated last year
- ☆553Updated 2 years ago
- Describing statistical models in Python using symbolic formulas☆959Updated this week
- A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines☆460Updated last year
- THIS IS THE **OLD** PYMC PROJECT (VERSION 2). PLEASE USE PYMC INSTEAD:☆877Updated 4 years ago
- ☆749Updated last year
- PyStan, the Python interface to Stan☆921Updated 3 years ago
- Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models☆489Updated 7 years ago
- Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data☆502Updated 3 years ago
- A tensorflow implementation of an HMM layer☆287Updated 6 years ago
- Render probabilistic graphical models using matplotlib☆677Updated this week
- Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python…☆1,130Updated 3 years ago
- A library for factorization machines and polynomial networks for classification and regression in Python.☆245Updated 4 years ago
- scikit-learn inspired API for CRFsuite☆425Updated last year
- Fast, flexible and easy to use probabilistic modelling in Python.☆3,399Updated last week
- TensorFlow: Viterbi, Forward-Backward and Baum Welch with a Hidden Markov Model (HMM)☆134Updated 4 years ago
- A deep learning tool for time series classification and regression☆362Updated 4 months ago
- SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.☆553Updated 3 weeks ago
- Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke☆895Updated 3 years ago
- Ordinal regression algorithms☆265Updated last year
- PCA that iteratively replaces missing data☆220Updated last year
- Tuning hyperparams fast with Hyperband☆592Updated 6 years ago
- pandas, scikit-learn, xgboost and seaborn integration☆318Updated 4 years ago
- minepy - Maximal Information-based Nonparametric Exploration☆218Updated 7 months ago