Alternatives and similar repositories for pyBASS

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

• mfrdixon / GP-CVA
  ☆14Updated 6 years ago
• StatMixedML / DGBM
  Distributional Gradient Boosting Machines
  ☆27Updated 2 years ago
• JohnGoertz / Gumbi
  Gaussian Process Model Building Interface
  ☆51Updated 8 months ago
• jdb78 / lipo
  Global, derivative-free optimization for hyperparameter tuning
  ☆44Updated last month
• jessegrabowski / pymc_statespace
  A system for Bayesian estimation of state space models using PyMC
  ☆36Updated 4 months ago
• Sinbad-The-Sailor / Abacus
  Automatic optimal sequential investment decisions. Forecasts made using advanced stochastic processes with Monte Carlo simulation. Depend…
  ☆22Updated last year
• alan-turing-institute / rPSMF
  Code for Probabilistic Sequential Matrix Factorization
  ☆15Updated 4 years ago
• PySloth / pysloth
  A Python Package for Probabilistic Prediction
  ☆22Updated 4 years ago
• jajcayn / pygpso
  Gaussian-Processes Surrogate Optimisation in python
  ☆19Updated 4 years ago
• hendersontrent / feature-set-comp
  Compares various time-series feature sets on computational performance, within-set structure, and between-set relationships.
  ☆11Updated 3 years ago
• KIT-IAI / pyWATTS
  pyWATTS: Python Workflow Automation Tool for Time-Series
  ☆40Updated last year
• Rose-STL-Lab / torchTS
  Time series forecasting with PyTorch
  ☆85Updated 2 weeks ago
• AlexTMallen / koopman-forecasting
  Long-term probabilistic forecasting of quasiperiodic phenomena using Koopman theory
  ☆35Updated 3 years ago
• tblume1992 / Seance
  Wrapper around MLForecast for more plug and play forecasting
  ☆10Updated 2 years ago
• IDA-HumanCapital / fife
  Finite-Interval Forecasting Engine: Machine learning models for discrete-time survival analysis and multivariate time series forecasting
  ☆22Updated last year
• vr308 / Generalised-Gaussian-Processes
  Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods
  ☆22Updated 2 years ago
• saitcakmak / BoRisk
  Bayesian Optimization of Risk Measures
  ☆21Updated last year
• Techtonique / ahead_python
  Univariate and multivariate time series forecasting, with uncertainty quantification (Python & R)
  ☆13Updated last week
• jkirkby3 / pymle
  Maximum Likelihood estimation and Simulation for Stochastic Differential Equations (Diffusions)
  ☆54Updated 3 months ago
• cvxgrp / exp_util_gm_portfolio_opt
  Minimal entropic value at risk (EVaR) portfolio construction under a Gaussian mixture model of returns.
  ☆21Updated last year
• Techtonique / nnetsauce
  Statistical/Machine Learning using Randomized and Quasi-Randomized (neural) networks (currently Python & R)
  ☆20Updated last week
• Victorletzelter / timeMCL
  Winner-takes-all for Multivariate Probabilistic Time Series Forecasting
  ☆51Updated 3 months ago
• astrogilda / tsbootstrap
  tsbootstrap: generate bootstrapped time series samples in Python
  ☆85Updated 4 months ago
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 3 years ago
• microprediction / humpday
  Elo ratings for global black box derivative-free optimizers
  ☆143Updated 9 months ago
• cvxgrp / cptopt
  Portfolio Optimization with Cumulative Prospect Theory Utility via Convex Optimization
  ☆37Updated last year
• vincentblot28 / conformalized_gp
  ☆48Updated 10 months ago
• Lucew / changepoynt
  Efficient and readable change point detection package implemented in Python. (Singular Spectrum Transformation - SST, IKA-SST, ulSIF, RuL…
  ☆29Updated last month
• ChadFulton / scipy2022-bayesian-time-series
  Bayesian Estimation and Forecasting of Time Series in statsmodels, for Scipy 2022 conference
  ☆25Updated 3 years ago
• andykitchen / numpyo-examples
  Numpyro examples in Python notebooks
  ☆11Updated 5 years ago