Alternatives and similar repositories for bernstein-flow

Users that are interested in bernstein-flow are comparing it to the libraries listed below

• wesselb / neuralprocesses
  A framework for composing Neural Processes in Python
  ☆89Updated last year
• VU-IVM / VineCopulas
  A pure python implementation for vine copulas
  ☆38Updated last year
• jejjohnson / gp_model_zoo
  Literature and light wrappers for gaussian process models.
  ☆47Updated 4 years ago
• vinecopulib / pyvinecopulib
  A Python library for vine copula models
  ☆120Updated 2 months ago
• wesselb / stheno
  Gaussian process modelling in Python
  ☆225Updated last year
• jasperroebroek / sklearn-quantile
  ☆23Updated 11 months ago
• GaussianProcessesCambridge / meetup-resources
  Collection of resources from each meetup event
  ☆13Updated 5 years ago
• IDSIA / gpforecasting
  ☆18Updated 4 years ago
• Quilograma / AEnbMIMOCQR
  ☆14Updated 2 years ago
• GAMES-UChile / mogptk
  Multi-Output Gaussian Process Toolkit
  ☆183Updated 8 months ago
• wesselb / gpar
  Implementation of the Gaussian Process Autoregressive Regression Model
  ☆71Updated last year
• elephaint / pedpf
  Parameter Efficient Deep Probabilistic Forecasting
  ☆14Updated 4 years ago
• alan-turing-institute / mogp-emulator
  Package for fitting Gaussian Process Emulators to multiple output computer simulation results.
  ☆53Updated 2 years ago
• OpheliaMiralles / pykelihood
  package useful for likelihood-based inference
  ☆12Updated 2 weeks ago
• secondmind-labs / GPflux
  Deep GPs built on top of TensorFlow/Keras and GPflow
  ☆128Updated last year
• Monoxido45 / clover
  Conformal Locally Valid interval-Estimates for Regression
  ☆17Updated last year
• lee-group-cmu / DeepCDE
  Neural networks for conditional density estimation
  ☆13Updated 5 years ago
• nmdwolf / ValidPredictionIntervals
  Contains the code to run the different models considered in the paper "Valid prediction intervals for regression problems"
  ☆23Updated 3 years ago
• secondmind-labs / markovflow
  A Tensorflow based library for Time Series Modelling with Gaussian Processes
  ☆32Updated last year
• AaltoML / BayesNewton
  Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
  ☆241Updated 2 years ago
• frazane / scoringrules
  Lightweight library for probabilistic forecast evaluation and optimization.
  ☆69Updated 2 weeks ago
• lostella / ISF-2020-Deep-Learning-Workshop
  ☆17Updated 5 years ago
• DanielBok / copulae
  Multivariate data modelling with Copulas in Python
  ☆159Updated last year
• DynamicsAndNeuralSystems / pycatch22
  python implementation of catch22
  ☆92Updated 6 months ago
• ml-jku / HopCPT
  Conformal Prediction for Time Series with Modern Hopfield Networks
  ☆87Updated 8 months ago
• vincentblot28 / conformalized_gp
  ☆48Updated last year
• nci / scores
  scores: Metrics for the verification, evaluation and optimisation of forecasts, predictions or models.
  ☆201Updated last week
• aangelopoulos / conformal-time-series
  Conformal prediction for time-series applications.
  ☆133Updated 2 years ago
• KIT-IAI / pyWATTS
  pyWATTS: Python Workflow Automation Tool for Time-Series
  ☆40Updated last year
• jfcrenshaw / pzflow
  Probabilistic modeling of tabular data with normalizing flows.
  ☆58Updated 3 weeks ago