Alternatives and similar repositories for ccfs

Users that are interested in ccfs are comparing it to the libraries listed below

• lordgrilo / Holes
  A Python module for detecting, analysing and visualising persistent homological features of complex networks
  ☆30Updated 4 years ago
• wesselb / gpar
  Implementation of the Gaussian Process Autoregressive Regression Model
  ☆67Updated 7 months ago
• jameshensman / VFF
  Variational Fourier Features
  ☆85Updated 4 years ago
• tgcsaba / GPSig
  Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
  ☆47Updated 2 years ago
• gregversteeg / LinearCorex
  Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-…
  ☆43Updated 4 years ago
• neurodata / uncertainty-forest
  Conditional probability, conditional entropy, and mutual information estimation in Python. https://arxiv.org/abs/1907.00325
  ☆12Updated 4 years ago
• BiuBiuBiLL / NPEET_LNC
  local non-uniformity correction for mutual information estimation
  ☆70Updated 4 years ago
• thangbui / geepee
  A collection of Gaussian process models
  ☆30Updated 8 years ago
• sremes / nssm-gp
  Non-stationary spectral mixture kernels implemented in GPflow
  ☆28Updated 6 years ago
• ivaleraM / GLFM
  General Latent Feature Modeling for Heterogeneous data
  ☆49Updated last year
• mijungi / lllvm
  ☆16Updated 9 years ago
• olavolav / te-causality
  Generalized Transfer Entropy analysis for model-free network reconstruction.
  ☆30Updated 4 years ago
• blei-lab / variational-smc
  Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)
  ☆65Updated 6 years ago
• sremes / nonstationary-spectral-kernels
  Implementation for Non-stationary Spectral Kernels (NIPS 2017)
  ☆20Updated 5 years ago
• SheffieldML / vargplvm
  Bayesian GPLVM in MATLAB and R
  ☆75Updated 8 years ago
• amzn / orthogonal-additive-gaussian-processes
  Light-weighted code for Orthogonal Additive Gaussian Processes
  ☆43Updated last year
• lizliz / teaspoon
  ☆44Updated 2 years ago
• jonathan-taylor / selective-inference
  Software for selective inference
  ☆17Updated 2 years ago
• mattjj / pylds
  some tools for gaussian linear dynamical systems
  ☆89Updated 7 years ago
• andresantoro / RHOSTS
  Code associated with the paper 'Higher-order structure of multivariate time series' (https://www.nature.com/articles/s41567-022-01852-0)
  ☆44Updated 10 months ago
• slinderman / pypolyagamma
  Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.
  ☆82Updated 5 years ago
• mackelab / delfi
  Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead
  ☆73Updated 5 years ago
• wesselb / mlkernels
  Kernels, the machine learning ones
  ☆14Updated 2 years ago
• AaltoML / hilbert-gp
  Codes for Hilbert space reduced-rank GP regression
  ☆14Updated 6 years ago
• hichamjanati / mutar
  Multi-task regression in Python
  ☆25Updated 4 years ago
• catniplab / tree_structured_rslds
  Tree-structured recurrent switching linear dynamical systems
  ☆36Updated 5 years ago
• utvisionlab / mixest
  MixEst: A MATLAB toolbox for mixture-model parameter estimation
  ☆16Updated 7 years ago
• gatsby-sahani / gp-sde
  ☆14Updated 2 years ago
• mstrazar / mklaren
  A Python Multiple kernel learning library.
  ☆57Updated 6 years ago
• mauriziofilippone / deep_gp_random_features
  ☆40Updated 6 years ago