Alternatives and similar repositories for pyBASS:

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

• jdb78 / lipo
  Global, derivative-free optimization for hyperparameter tuning
  ☆42Updated 2 years ago
• StatMixedML / DGBM
  Distributional Gradient Boosting Machines
  ☆26Updated 2 years ago
• hendersontrent / feature-set-comp
  Compares various time-series feature sets on computational performance, within-set structure, and between-set relationships.
  ☆11Updated 2 years ago
• gerdm / BONE
  Repository for the paper "BONE: a unifying framework for Bayesian online learning in non-stationary environments"
  ☆17Updated 3 months ago
• mfrdixon / GP-CVA
  ☆13Updated 5 years ago
• mthorrell / gbnet
  Gradient Boosting Modules for pytorch
  ☆17Updated last week
• jajcayn / pygpso
  Gaussian-Processes Surrogate Optimisation in python
  ☆19Updated 3 years ago
• vacquaviva / IntroConformalPredictions
  A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…
  ☆12Updated 9 months ago
• wesselb / mlkernels
  Kernels, the machine learning ones
  ☆14Updated 2 years ago
• g-benton / Volt
  Public Implementation of Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes
  ☆48Updated 2 years ago
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆27Updated 4 years ago
• JohnGoertz / Gumbi
  Gaussian Process Model Building Interface
  ☆50Updated 3 weeks ago
• StatMixedML / Hyper-Trees
  Forecasting with Hyper-Trees
  ☆16Updated 5 months ago
• saitcakmak / BoRisk
  Bayesian Optimization of Risk Measures
  ☆21Updated last year
• big-data-lab-umbc / ensemble_causality_learning
  ☆10Updated 4 years ago
• cvxgrp / exp_util_gm_portfolio_opt
  Minimal entropic value at risk (EVaR) portfolio construction under a Gaussian mixture model of returns.
  ☆20Updated 10 months ago
• alan-turing-institute / rPSMF
  Code for Probabilistic Sequential Matrix Factorization
  ☆15Updated 3 years ago
• hamrel-cxu / MultiDimSPCI
  Official implementation of "Conformal prediction for multi-dimensional time series by ellipsoidal sets" (ICML 2024 spotlight)
  ☆16Updated 8 months ago
• neildhir / DCBO
  Dynamic causal Bayesian optimisation
  ☆35Updated last year
• evdoxiataka / ipme
  An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".
  ☆24Updated 9 months ago
• nmdwolf / ValidPredictionIntervals
  Contains the code to run the different models considered in the paper "Valid prediction intervals for regression problems"
  ☆19Updated 2 years ago
• ronojoy / pybisp
  This aims to be a collection of tools for performing Bayesian parameter estimation and model selection on stochastic processes. The immed…
  ☆11Updated 3 years ago
• yuachen / CausalDA
  Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…
  ☆18Updated 3 years ago
• jessegrabowski / pymc_statespace
  A system for Bayesian estimation of state space models using PyMC
  ☆33Updated last year
• johnnyp2587 / transfer-learning
  Implementation of transfer learning based with autoencoder architecture
  ☆17Updated 4 years ago
• chlubba / op_importance
  Compute set of important operations for HCTSA code
  ☆26Updated 4 years ago
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 4 years ago
• tblume1992 / Seance
  Wrapper around MLForecast for more plug and play forecasting
  ☆10Updated last year
• vr308 / Generalised-Gaussian-Processes
  Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods
  ☆22Updated last year
• vincentblot28 / conformalized_gp
  ☆47Updated 2 months ago