larsmans / seqlearn
Sequence learning toolkit for Python
☆692Updated last year
Alternatives and similar repositories for seqlearn:
Users that are interested in seqlearn are comparing it to the libraries listed below
- Hidden Markov Models in Python, with scikit-learn like API☆3,151Updated 4 months ago
- Bayesian Python: Bayesian inference tools for Python☆696Updated 5 months ago
- Python package for Bayesian Machine Learning with scikit-learn API☆517Updated 3 years ago
- Simple structured learning framework for python☆665Updated 3 years ago
- optimization routines for hyperparameter tuning☆418Updated last year
- Yet Another Hidden Markov Model repository.☆247Updated 9 years ago
- ☆556Updated last month
- Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…☆1,394Updated 7 years ago
- Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python…☆1,133Updated 3 years ago
- Describing statistical models in Python using symbolic formulas☆965Updated this week
- A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines☆459Updated last year
- Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data☆500Updated 3 years ago
- THIS IS THE **OLD** PYMC PROJECT (VERSION 2). PLEASE USE PYMC INSTEAD:☆880Updated 4 years ago
- A tensorflow implementation of an HMM layer☆287Updated 7 years ago
- Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models☆488Updated 7 years ago
- Bayesian Optimization using xgboost and sklearn API☆226Updated 9 years ago
- Tuning hyperparams fast with Hyperband☆593Updated 6 years ago
- ☆756Updated last year
- pandas, scikit-learn, xgboost and seaborn integration☆319Updated 4 years ago
- A garden for scikit-learn compatible trees☆286Updated 9 months ago
- Visualization Toolbox for Long Short Term Memory networks (LSTMs)☆1,231Updated 3 years ago
- A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.☆415Updated 2 years ago
- A Theano framework for building and training neural networks☆1,156Updated 6 years ago
- SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.☆553Updated 2 months ago
- PyStan, the Python interface to Stan☆924Updated 4 years ago
- A Python implementation of FastDTW☆810Updated last year
- Hyper-parameter optimization for sklearn☆1,610Updated 9 months ago
- Render probabilistic graphical models using matplotlib☆677Updated this week
- Notes explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation☆413Updated 6 years ago
- A library for factorization machines and polynomial networks for classification and regression in Python.☆245Updated 4 years ago