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
  ☆43Updated 2 weeks ago
• jessegrabowski / pymc_statespace
  A system for Bayesian estimation of state space models using PyMC
  ☆36Updated 3 months ago
• StatMixedML / DGBM
  Distributional Gradient Boosting Machines
  ☆27Updated 2 years ago
• JohnGoertz / Gumbi
  Gaussian Process Model Building Interface
  ☆51Updated 7 months ago
• mfrdixon / GP-CVA
  ☆14Updated 6 years ago
• kikocorreoso / scikit-extremes
  scikit-extremes is a basic statistical package to perform univariate extreme value calculations using Python
  ☆42Updated 3 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
• PySloth / pysloth
  A Python Package for Probabilistic Prediction
  ☆22Updated 4 years ago
• Techtonique / nnetsauce
  Statistical/Machine Learning using Randomized and Quasi-Randomized (neural) networks (currently Python & R)
  ☆20Updated 3 weeks ago
• Sinbad-The-Sailor / Abacus
  Automatic optimal sequential investment decisions. Forecasts made using advanced stochastic processes with Monte Carlo simulation. Depend…
  ☆22Updated last year
• AlexTMallen / koopman-forecasting
  Long-term probabilistic forecasting of quasiperiodic phenomena using Koopman theory
  ☆35Updated 3 years ago
• jajcayn / pygpso
  Gaussian-Processes Surrogate Optimisation in python
  ☆19Updated 4 years ago
• Rose-STL-Lab / torchTS
  Time series forecasting with PyTorch
  ☆83Updated 3 weeks ago
• vacquaviva / IntroConformalPredictions
  A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…
  ☆12Updated last year
• microprediction / timeseries-elo-ratings
  Elo ratings for time-series forecasting packages
  ☆24Updated 3 years ago
• tblume1992 / Seance
  Wrapper around MLForecast for more plug and play forecasting
  ☆10Updated 2 years ago
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 3 years ago
• tee-lab / PyDaddy
  Python package to discover stochastic differential equations from time series data
  ☆97Updated 9 months ago
• KIT-IAI / pyWATTS
  pyWATTS: Python Workflow Automation Tool for Time-Series
  ☆40Updated last year
• Victorletzelter / timeMCL
  Winner-takes-all for Multivariate Probabilistic Time Series Forecasting
  ☆49Updated 2 months ago
• quantgirluk / twopiece
  📦 Python library providing Two-Piece distributions functionality. It covers the subfamilies: TP Scale, TP Shape, and Double TP.
  ☆11Updated last year
• mthorrell / gbnet
  Gradient Boosting Modules for PyTorch
  ☆50Updated last week
• astrogilda / tsbootstrap
  tsbootstrap: generate bootstrapped time series samples in Python
  ☆84Updated 3 months ago
• ChadFulton / scipy2022-bayesian-time-series
  Bayesian Estimation and Forecasting of Time Series in statsmodels, for Scipy 2022 conference
  ☆25Updated 3 years ago
• jkirkby3 / pymle
  Maximum Likelihood estimation and Simulation for Stochastic Differential Equations (Diffusions)
  ☆54Updated 2 months ago
• chlubba / op_importance
  Compute set of important operations for HCTSA code
  ☆27Updated 5 years ago
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆28Updated 5 years ago
• convexfi / fitHeavyTail
  Mean and Covariance Matrix Estimation under Heavy Tails
  ☆22Updated 2 years ago
• nmdwolf / ValidPredictionIntervals
  Contains the code to run the different models considered in the paper "Valid prediction intervals for regression problems"
  ☆21Updated 2 years ago
• pastas / metran
  Multivariate timeseries analysis using dynamic factor modelling.
  ☆22Updated last year