mattjj / pyhsmm-factorialLinks
☆18Updated 12 years ago
Alternatives and similar repositories for pyhsmm-factorial
Users that are interested in pyhsmm-factorial are comparing it to the libraries listed below
Sorting:
- A Gaussian process toolbox in python☆42Updated 13 years ago
- Code for AutoGP☆27Updated 6 years ago
- Implementation of an algorithm for Markov chain Monte Carlo with data subsampling☆32Updated 9 years ago
- Variational Fourier Features☆85Updated 4 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆34Updated 10 years ago
- Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-…☆43Updated 4 years ago
- Gaussian Process optimization algorithm for Hyperopt☆24Updated 11 years ago
- Python package for inference with Gaussian processes☆11Updated 10 years ago
- Randomized output tree for multilabel / multi-output regression tasks☆23Updated 9 years ago
- ☆31Updated 9 years ago
- Bayesian optimisation for fast approximate inference in state-space models with intractable likelihoods☆13Updated 7 years ago
- Variational Bayesian Mixture of Factor Analysers☆24Updated 10 years ago
- Collection of scripts for doing common transformations in machine learning☆21Updated 12 years ago
- Automatic Discovery of the Statistical Types of Variables in a Dataset☆23Updated 7 years ago
- ☆12Updated 2 years ago
- python implementation of SAX (Symbolic Aggregate Approximation) for time series data☆45Updated 10 years ago
- Particle Gibbs for Bayesian Additive Regression Trees☆33Updated 10 years ago
- Automatic Reparameterisation of Probabilistic Programs☆36Updated 5 years ago
- An implementation of the SuperLearner algorithm in Python based on scikit-learn.☆25Updated 11 years ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 8 years ago
- Generalized lasso implementations☆46Updated last year
- Simulated Dual Annealing for python and benchmarks☆15Updated 6 years ago
- Demos and tutorials for ORIE 4741☆34Updated 4 years ago
- Dirichlet Process K-means☆48Updated last year
- Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…☆33Updated 5 years ago
- Experiment code for "Probabilistic Matrix Factorization for Automated Machine Learning"☆20Updated 8 years ago
- Neural Processes implementation for 1D regression☆64Updated 6 years ago
- Variational Sparse Spectrum Gaussian Process toolkit☆22Updated 10 years ago
- Yet another tensor library☆23Updated 8 years ago
- Software for selective inference☆17Updated 2 years ago