datamicroscopes / mixturemodel
Dirichlet process mixture model (DPMM) for datamicroscopes
☆13Updated 9 years ago
Alternatives and similar repositories for mixturemodel:
Users that are interested in mixturemodel are comparing it to the libraries listed below
- scikit-learn addon to operate on set/"group"-based features☆41Updated 8 years ago
- A Bayesian testing framework written in Python.☆94Updated 10 years ago
- Low-level primitives for collapsed Gibbs sampling in python and C++☆16Updated last year
- Latent dirichlet allocation (LDA) for datamicroscopes☆40Updated 9 years ago
- Low-level primitives for collapsed Gibbs sampling in python and C++☆33Updated last year
- ☆46Updated 11 years ago
- Machine Learning Open Source Software☆23Updated 6 years ago
- This repo contain the exercies of the Next.ML 2015 presentation☆24Updated 10 years ago
- Repo for experiments on pyspark and sklearn☆79Updated 11 years ago
- Ordered Weighted L1 regularization for classification and regression in Python☆52Updated 6 years ago
- Generic goodness of fit tests for random plain old data☆11Updated last year
- Code for "RedQueen: An Online Algorithm for Smart Broadcasting on Social Networks", WSDM 2017☆20Updated 6 years ago
- [Deprecated]: Exploration library☆16Updated last year
- Python algorithms for regularized regression☆24Updated 9 years ago
- convert a lot of zeros and ones to fewer real numbers☆23Updated 10 years ago
- A streaming cross-cat inference engine☆20Updated last year
- ☆20Updated 7 years ago
- Sparse Beta-Divergence Tensor Factorization Library☆48Updated 9 years ago
- SmallK: very fast data clustering tools☆14Updated 6 years ago
- Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling☆13Updated 10 years ago
- ggplot2-inspired d3 app to make instant interactive visualizations☆55Updated 12 years ago
- ☆58Updated 9 years ago
- Compute association strength over semantic networks in a dimensionality-reduced form.☆32Updated 9 years ago
- Code to accompany the paper "k-Stochastic Neighbor Embeddings for Supervised and Unsupervised Learning, ICML 2013".☆27Updated 8 years ago
- code referenced in "Towards universal neural nets: Gibbs machines and ACE", Galin Georgiev, http://arxiv.org/abs/1508.06585☆14Updated 9 years ago
- stochs: fast stochastic solvers for machine learning in C++ and Cython☆26Updated 2 years ago
- Variational Bayesian Mixture of Factor Analysers☆23Updated 10 years ago
- Python implementation of cover trees, near-drop-in replacement for scipy.spatial.kdtree☆33Updated 13 years ago
- Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015☆50Updated 10 years ago
- Bayesian model averaging of an objective function over a model class using advanced MCMC techniques.☆16Updated 10 years ago