Alternatives and similar repositories for maxentropy:

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

• Leo-Simpson / c-lasso
  c-lasso: a Python package for constrained sparse regression and classification
  ☆32Updated 3 years ago
• pierresegonne / VINF
  Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen
  ☆25Updated 4 years ago
• wesselb / gpar
  Implementation of the Gaussian Process Autoregressive Regression Model
  ☆62Updated last month
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆27Updated 4 years ago
• siboehm / NormalizingFlowNetwork
  Bayesian and Maximum Likelihood Implementation of the Normalizing Flow Network (NFN): https://arxiv.org/abs/1907.08982
  ☆21Updated 4 years ago
• sweichwald / tidybench
  TIme series DiscoverY BENCHmark (tidybench)
  ☆37Updated last year
• ngorbach / Variational_Gradient_Matching_for_Dynamical_Systems
  Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"
  ☆26Updated 5 years ago
• karalets / TyXe
  Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)
  ☆42Updated 3 years ago
• hadsed / PyGPML
  Gaussian process regression code.
  ☆24Updated 10 years ago
• jajcayn / pygpso
  Gaussian-Processes Surrogate Optimisation in python
  ☆19Updated 3 years ago
• suriyadeepan / pm-pyro
  PyMC3-like Interface for Pyro
  ☆37Updated 5 years ago
• big-data-lab-umbc / ensemble_causality_learning
  ☆10Updated 4 years ago
• AaltoML / spatio-temporal-GPs
  Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'
  ☆47Updated 3 years ago
• Tom-Ryder / VIforSDEs
  A variational method for fast, approximate inference for stochastic differential equations.
  ☆44Updated 6 years ago
• arviz-devs / simuk
  Simulation based calibration and generation of synthetic data.
  ☆49Updated 3 weeks ago
• darrenjw / logreg
  Bayesian inference for a logistic regression model in various languages
  ☆43Updated last year
• PredictiveIntelligenceLab / JAX-BO
  ☆30Updated 2 years ago
• amzn / orthogonal-additive-gaussian-processes
  Light-weighted code for Orthogonal Additive Gaussian Processes
  ☆41Updated 7 months ago
• rcmorehead / simpleabc
  A Python package for Approximate Bayesian Computation
  ☆36Updated 8 years ago
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 3 years ago
• OATML / ucate
  Uncertainty in Conditional Average Treatment Effect Estimation
  ☆29Updated 3 years ago
• ebonilla / AutoGP
  Code for AutoGP
  ☆26Updated 5 years ago
• gpschool / gpss18
  Gaussian Process and Uncertainty Quantification Summer School 2018
  ☆31Updated 2 years ago
• sremes / nssm-gp
  Non-stationary spectral mixture kernels implemented in GPflow
  ☆28Updated 6 years ago
• markvdw / RobustGP
  Robust initialisation of inducing points in sparse variational GP regression models.
  ☆33Updated 2 years ago
• samuelstanton / conformal-bayesopt
  Bayesian optimization with conformal coverage guarantees
  ☆27Updated 2 years ago
• datasailors / bayesian_calibration
  Bayesian calibration using Tensorflow Probability
  ☆34Updated 6 years ago
• eth-cscs / abcpy
  ABCpy package
  ☆113Updated 9 months ago
• tansey / functionalmf
  Functional matrix factorization via Bayesian tensor filtering
  ☆13Updated 2 years ago
• JohnGoertz / Gumbi
  Gaussian Process Model Building Interface
  ☆50Updated 4 months ago