twgr / ccfsLinks
Canonical Correlation Forests
☆21Updated 7 years ago
Alternatives and similar repositories for ccfs
Users that are interested in ccfs are comparing it to the libraries listed below
Sorting:
- Variational Fourier Features☆85Updated 4 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆68Updated 9 months ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆48Updated 2 years ago
- Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-…☆43Updated 4 years ago
- ☆17Updated 9 years ago
- A Python module for detecting, analysing and visualising persistent homological features of complex networks☆31Updated 4 years ago
- Foundations and Applications☆100Updated 5 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- A collection of Gaussian process models☆30Updated 8 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Codes for Hilbert space reduced-rank GP regression☆14Updated 6 years ago
- Generalized Transfer Entropy analysis for model-free network reconstruction.☆30Updated 4 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Multi-task regression in Python☆25Updated 4 years ago
- simple MATLAB code for randomized matrix computation☆23Updated 9 years ago
- A Python Multiple kernel learning library.☆57Updated 6 years ago
- python code for kernel methods☆41Updated 6 years ago
- some tools for gaussian linear dynamical systems☆90Updated 7 years ago
- Conditional probability, conditional entropy, and mutual information estimation in Python. https://arxiv.org/abs/1907.00325☆12Updated 5 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆83Updated 5 years ago
- Collapsed Variational Bayes☆72Updated 6 years ago
- local non-uniformity correction for mutual information estimation☆71Updated 4 years ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 5 years ago
- Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model☆101Updated last year
- Preconditioned ICA for Real Data☆114Updated 3 weeks ago
- Sequential Neural Likelihood☆42Updated 6 years ago
- Randomized Dimension Reduction Library☆117Updated 4 years ago
- A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-conve…☆58Updated 2 years ago
- Dirichlet Process K-means☆48Updated last year
- ☆98Updated 7 years ago