Alternatives and similar repositories for asgl

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

• DanielBok / copulae
  Multivariate data modelling with Copulas in Python
  ☆159Updated 8 months ago
• ZebinYang / gaminet
  Generalized additive model with pairwise interactions
  ☆66Updated last year
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 3 years ago
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆118Updated 2 years ago
• maximenc / pycop
  Python library for multivariate dependence modeling with Copulas
  ☆115Updated last year
• vinecopulib / pyvinecopulib
  A Python library for vine copula models
  ☆112Updated 2 weeks ago
• BayerSe / l1qr
  Lasso Quantile Regression
  ☆31Updated 5 years ago
• lixixibj / DeepVARwT-data-code
  ☆20Updated 2 weeks ago
• arthurpessa / ordpy
  A Python package for data analysis with permutation entropy and ordinal network methods.
  ☆107Updated last month
• ZacKeskin / PyCausality
  Calculate predictive causality between time series using information-theoretic techniques
  ☆104Updated 4 years ago
• MIDASverse / MIDASpy
  Python package for missing-data imputation with deep learning
  ☆156Updated last year
• yngvem / group-lasso
  Group Lasso implementation following the scikit-learn API
  ☆107Updated last year
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆147Updated 2 years ago
• asnelt / mixedvines
  Python package for canonical vine copula trees with mixed continuous and discrete marginals
  ☆48Updated last year
• christophmark / fforma
  Python package for Feature-based Forecast Model Averaging (FFORMA).
  ☆28Updated 5 years ago
• astrogilda / tsbootstrap
  tsbootstrap: generate bootstrapped time series samples in Python
  ☆84Updated 3 months ago
• jambo6 / generalised-signature-method
  Code for: "A Generalised Signature Method for Time Series"
  ☆65Updated 2 years ago
• gwgundersen / bocd
  Python implementation of Bayesian online changepoint detection
  ☆103Updated 2 years ago
• DynamicsAndNeuralSystems / pycatch22
  python implementation of catch22
  ☆86Updated 2 months ago
• majianthu / pycopent
  Estimating Copula Entropy (Mutual Information), Transfer Entropy (Conditional Mutual Information), and the statistics for multivariate no…
  ☆167Updated last year
• datasig-ac-uk / esig
  esig python package
  ☆48Updated 10 months ago
• microprediction / m6
  M6-Forecasting competition
  ☆43Updated last year
• lasso-net / lassonet
  Feature selection in neural networks
  ☆243Updated last year
• UBS-IB / bayesian_tree
  ☆52Updated 5 years ago
• alan-turing-institute / TCPDBench
  The Turing Change Point Detection Benchmark: An Extensive Benchmark Evaluation of Change Point Detection Algorithms on real-world data
  ☆143Updated 2 months ago
• rakshitha123 / WeeklyForecasting
  This repository contains the experiments related with a new baseline model that can be used in forecasting weekly time series. This model…
  ☆47Updated 3 years ago
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆232Updated last year
• manuel-calzolari / shapicant
  Feature selection package based on SHAP and target permutation, for pandas and Spark
  ☆31Updated 3 years ago
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆243Updated 2 weeks ago
• WojtekFulmyk / mlcausality-krr-paper-replication
  Replication code for the paper "Nonlinear Granger Causality using Kernel Ridge Regression" that introduces and highlights the usage of ml…
  ☆23Updated 2 years ago