Alternatives and similar repositories for fastfit

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

• HIPS / pgmult
  Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation
  ☆61Updated 5 years ago
• slinderman / pypolyagamma
  Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.
  ☆84Updated 5 years ago
• lockEF / MultiwayRegression
  Perform tensor-on-tensor regression
  ☆20Updated 6 years ago
• ivaleraM / GLFM
  General Latent Feature Modeling for Heterogeneous data
  ☆50Updated last year
• jameshensman / GPclust
  Clustering time series using Gaussian processes and Variational Bayes.
  ☆39Updated 5 years ago
• michaelchughes / NPBayesHMM
  Nonparametric Bayesian Inference for Sequential Data. Includes state-of-the-art MCMC inference for Beta process Hidden Markov Models (BP…
  ☆78Updated 8 years ago
• davidandrzej / PyIBP
  NumPy implementation of infinite latent feature model (aka Indian Buffet Process or IBP)
  ☆52Updated 7 years ago
• hstrey / Hidden-Markov-Models-pymc3
  Implementation of Hidden Markov Models in pymc3
  ☆62Updated 8 years ago
• caus-am / sigmasep
  Code for UAI 2018 paper by Forré & Mooij (causal discovery with mSCMs using sigma-separation)
  ☆10Updated 5 years ago
• avehtari / PSIS
  Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave
  ☆79Updated last year
• selective-inference / Python-software
  Python software for selective inference
  ☆53Updated 2 years ago
• mattjj / pybasicbayes
  ☆156Updated 6 years ago
• jonathan-taylor / selective-inference
  Software for selective inference
  ☆17Updated 2 years ago
• joelnish / double-edge-swap-mcmc
  Contains methods to uniformly sample graphs with a given degree sequence.
  ☆19Updated 6 years ago
• twgr / ccfs
  Canonical Correlation Forests
  ☆21Updated 7 years ago
• gregversteeg / LinearCorex
  Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-…
  ☆43Updated 5 years ago
• mattjj / pylds
  some tools for gaussian linear dynamical systems
  ☆90Updated 7 years ago
• mstrazar / mklaren
  A Python Multiple kernel learning library.
  ☆57Updated 6 years ago
• lordgrilo / Holes
  A Python module for detecting, analysing and visualising persistent homological features of complex networks
  ☆32Updated 4 years ago
• tomwallis / glm-intro
  A collection of IPython notebooks from a graduate-level statistics course run by Tom Wallis and Philipp Berens
  ☆27Updated 10 years ago
• ryantibs / genlasso
  Path algorithm for generalized lasso problems
  ☆34Updated 3 years ago
• skggm / skggm
  Scikit-learn compatible estimation of general graphical models
  ☆249Updated 7 months ago
• SheffieldML / GPclust
  Collapsed Variational Bayes
  ☆72Updated 6 years ago
• Roth-Lab / pgsm
  ☆12Updated 8 months ago
• mijungi / lllvm
  ☆17Updated 10 years ago
• olavolav / te-causality
  Generalized Transfer Entropy analysis for model-free network reconstruction.
  ☆30Updated 5 years ago
• compops / pmh-tutorial
  Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"
  ☆28Updated 6 years ago
• SheffieldML / vargplvm
  Bayesian GPLVM in MATLAB and R
  ☆77Updated 8 years ago
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆74Updated last year
• slinderman / thesis
  My PhD Thesis
  ☆22Updated 9 years ago