Mathegineer / HJW_KL_divergence_estimatorLinks
☆11Updated 8 years ago
Alternatives and similar repositories for HJW_KL_divergence_estimator
Users that are interested in HJW_KL_divergence_estimator are comparing it to the libraries listed below
Sorting:
- Bayesian hidden Markov models toolkit☆47Updated 5 years ago
- Kohonen vector quantizers (SOM, NG, GNG)☆71Updated 7 years ago
- Categorical Latent Gaussian Process☆16Updated 10 years ago
- Incremental Slow Feature Analysis☆16Updated 11 years ago
- Code for AutoGP☆27Updated 6 years ago
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆83Updated last year
- ☆68Updated 2 weeks ago
- Variational Fourier Features☆85Updated 4 years ago
- Gaussian Process optimization algorithm for Hyperopt☆24Updated 11 years ago
- ☆14Updated 7 years ago
- Randomized output tree for multilabel / multi-output regression tasks☆23Updated 10 years ago
- A Python Multiple kernel learning library.☆57Updated 6 years ago
- Variational Autoencoder for Dimensionality Reduction of Time-Series☆189Updated 3 years ago
- A Gaussian process toolbox in python☆42Updated 13 years ago
- 2nd place submission to the MEG decoding competition https://www.kaggle.com/c/decoding-the-human-brain☆18Updated 11 years ago
- Fast Genetic Programming☆11Updated 6 years ago
- Yet another tensor library☆23Updated 8 years ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 8 years ago
- SGCRFpy: Sparse Gaussian Conditional Random Fields in Python☆30Updated 9 years ago
- Simulated Dual Annealing for python and benchmarks☆15Updated 6 years ago
- Randomized Linear Algebra in Python☆13Updated 8 years ago
- simple MATLAB code for randomized matrix computation☆23Updated 10 years ago
- autoregressive plugin☆27Updated 3 years ago
- A collection of Gaussian process models☆30Updated 8 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆67Updated 8 years ago
- Clustering time series using Gaussian processes and Variational Bayes.☆39Updated 5 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 11 years ago
- Implementation of unsupervised feature selection algorithm proposed by [Huang, et al. 2015]☆10Updated 10 years ago
- Extended Mean Field Restricted Boltzmann Machine☆16Updated 8 years ago
- Machine learning framework for electronic structure prediction of molecules☆19Updated 8 years ago