Alternatives and similar repositories for bayesianfridge

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

• pmorenoz / RecyclableGP
  Recyclable Gaussian Processes
  ☆11Updated 2 years ago
• maziarraissi / ParametricGP
  Parametric Gaussian Process Regression for Big Data
  ☆45Updated 5 years ago
• PredictiveIntelligenceLab / JAX-BO
  ☆30Updated 3 years ago
• pierresegonne / VINF
  Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen
  ☆25Updated 5 years ago
• anassinator / gp
  Differentiable Gaussian Process implementation for PyTorch
  ☆22Updated 7 years ago
• gatsby-sahani / gp-sde
  ☆15Updated 2 years ago
• vr308 / GPLVM
  Implementation of GPLVM and Bayesian GPLVM in pytorch/gpytorch
  ☆15Updated 4 years ago
• stefanradev93 / cINN
  Contains legacy code and model examples for the paper "BayesFlow: Learning complex stochastic models with invertible neural networks"
  ☆24Updated 4 years ago
• nanavatirutu / CausalBandits
  Project on Causal Machine learning CS 7290
  ☆16Updated 5 years ago
• sremes / nssm-gp
  Non-stationary spectral mixture kernels implemented in GPflow
  ☆28Updated 6 years ago
• ChangYong-Oh / HyperSphere
  ☆17Updated 6 years ago
• AlexTMallen / koopman-forecasting
  Long-term probabilistic forecasting of quasiperiodic phenomena using Koopman theory
  ☆35Updated 3 years ago
• hanyas / mimo
  A toolbox for inference of mixture models
  ☆16Updated 2 years ago
• uber-research / vargp
  Variational Auto-Regressive Gaussian Processes for Continual Learning
  ☆22Updated 4 years ago
• samcohen16 / Aligning-Time-Series
  ☆51Updated last year
• boschresearch / PR-SSM
  Python implementation of the PR-SSM.
  ☆56Updated 7 years ago
• KurochkinAlexey / Recurrent-neural-processes
  Pytorch implementation of Recurrent Neural Processes https://arxiv.org/pdf/1906.05915.pdf
  ☆22Updated 6 years ago
• gerdm / rebayes-mini
  Minimalist version of probml/rebayes
  ☆10Updated last month
• Tom-Ryder / VIforSDEs
  A variational method for fast, approximate inference for stochastic differential equations.
  ☆44Updated 7 years ago
• titicaca / GP-Clustering
  Clustering with Gaussian Process Models
  ☆19Updated 6 years ago
• vr308 / Generalised-Gaussian-Processes
  Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods
  ☆22Updated 2 years ago
• meowoodie / Spatio-Temporal-Point-Process-Simulator
  A Spatio-temporal point process simulator.
  ☆47Updated 2 years ago
• danieljtait / ladax
  Layered distributions using FLAX/JAX
  ☆10Updated 4 years ago
• lanl / pyBASS
  Bayesian Adaptive Spline Surfaces for flexible and automatic regression
  ☆25Updated last week
• datasailors / bayesian_calibration
  Bayesian calibration using Tensorflow Probability
  ☆35Updated 6 years ago
• josemiotto / pylevy
  Levy distributions for Python
  ☆36Updated 2 years ago
• mbchang / decentralized-rl
  Decentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)
  ☆43Updated 2 years ago
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆28Updated 5 years ago
• mrtnoshad / EDGE
  EDGE: Scalable and optimum mutual information estimator for high-dimensional applications including deep learning
  ☆40Updated 3 years ago
• d9w / evolution
  Introduction to Evolutionary Computation class
  ☆34Updated 5 months ago