JonasWallin / BayesFlow

Related projects ⓘ

Alternatives and complementary repositories for BayesFlow

• null-a / Stochy.jl
  Probabilistic Programming in Julia
  ☆14Updated 8 months ago
• ryantibs / genlasso
  Path algorithm for generalized lasso problems
  ☆32Updated last year
• jameshensman / GPclust
  Clustering time series using Gaussian processes and Variational Bayes.
  ☆39Updated 4 years ago
• cyrusmaher / CauseMap.jl
  Causal inference in non-linear dynamics systems
  ☆16Updated 7 years ago
• bikestra / bdapy
  Reproducing plots of Bayesian Data Analysis (Gelman et al, 3rd Edition) in Python
  ☆45Updated 9 years ago
• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 12 years ago
• mgorinova / autoreparam
  Automatic Reparameterisation of Probabilistic Programs
  ☆36Updated 4 years ago
• sorhawell / forestFloor
  R package to visualize mapping structures of random forests with feature contributions
  ☆42Updated 3 years ago
• ahwillia / HiddenMarkovModel.jl
  A module for fitting Hidden Markov Models in Julia
  ☆9Updated 8 years ago
• rgiordan / LinearResponseVariationalBayesNIPS2015
  Code and text for our NIPS 2015 paper on linear response variational Bayes
  ☆19Updated 6 years ago
• HIPS / hips-lib
  Library of common tools for machine learning research.
  ☆40Updated 7 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆31Updated 8 years ago
• pymc-devs / pymc4_prototypes
  Experimental code for porting PyMC to alternative backends
  ☆26Updated 6 years ago
• rmcgibbo / logsumexp
  Fast SSE logsumexp for python/numpy
  ☆30Updated 9 years ago
• slinderman / thesis
  My PhD Thesis
  ☆21Updated 8 years ago
• ranjanan / Texturize.jl
  Neural style in Julia
  ☆11Updated 4 years ago
• itsrainingdata / sparsebn
  Software for learning sparse Bayesian networks
  ☆43Updated 4 years ago
• aki-nishimura / discontinuous-hmc
  "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu
  ☆27Updated 6 years ago
• rgiordan / CovariancesRobustnessVBPaper
  ☆12Updated last year
• beamandrew / HMC_GPU
  Code to accompany the paper "Fast Hamiltonian Monte Carlo Using GPU Computing"
  ☆34Updated 8 years ago
• slinderman / pypolyagamma
  Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.
  ☆82Updated 4 years ago
• usnistgov / pmml_pymcBN
  ☆42Updated 6 years ago
• ivaleraM / GLFM
  General Latent Feature Modeling for Heterogeneous data
  ☆48Updated 7 months ago
• andrewcron / dpmix
  Python library for fitting massive mixture models using DP priors and GPU computation.
  ☆23Updated 8 years ago
• DataNeel / nx2_cross_validation
  Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling
  ☆13Updated 9 years ago
• HIPS / pgmult
  Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation
  ☆60Updated 3 years ago
• fonnesbeck / PyMC3_Oslo
  Probabilistic programming in Python workshop at Oslo universitetssykehus HF
  ☆36Updated 8 years ago
• davidandrzej / PyIBP
  NumPy implementation of infinite latent feature model (aka Indian Buffet Process or IBP)
  ☆49Updated 6 years ago