Alternatives and similar repositories for CatBoostLSS:

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

• pyro-ppl / Pyro-M5-Starter-Kit
  Learn Pyro through the M5 forecasting competition
  ☆84Updated 4 years ago
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆144Updated 11 months ago
• sktime / skpro
  A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
  ☆254Updated this week
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆223Updated last year
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆77Updated 7 months ago
• sktime / pysf
  Supervised forecasting of sequential data in Python.
  ☆55Updated 6 years ago
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆116Updated last year
• CDonnerer / xgboost-distribution
  Probabilistic prediction with XGBoost.
  ☆101Updated 6 months ago
• MBrouns / timeseers
  Time should be taken seer-iously
  ☆312Updated last year
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆219Updated last year
• manuel-calzolari / shapicant
  Feature selection package based on SHAP and target permutation, for pandas and Spark
  ☆30Updated 2 years ago
• pymc-devs / pymc-bart
  ☆100Updated this week
• CollinRooney12 / htsprophet
  Hierarchical Time Series Forecasting using Prophet
  ☆144Updated 3 years ago
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆52Updated 3 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
• octoenergy / timeserio
  Better `keras` models for time series and beyond
  ☆61Updated last year
• JingyuHe / XBART
  ☆90Updated last month
• vcerqueira / performance_estimation
  Performance estimation for time series forecasting tasks
  ☆39Updated 3 years ago
• tcassou / causal_impact
  Python package for causal inference using Bayesian structural time-series models.
  ☆237Updated 4 years ago
• ModelOriented / SAFE
  Surrogate Assisted Feature Extraction
  ☆36Updated 3 years ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 2 years ago
• parrt / stratx
  stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables
  ☆65Updated 8 months ago
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆72Updated 11 months ago
• PlaytikaOSS / uplift-analysis
  A Python library that implements scoring utilities, analysis strategies, and visualization methods which can serve uplift modeling use-ca…
  ☆22Updated last year
• partofthething / ace
  Python package for performing the Alternating Conditional Expectation (ACE) regression
  ☆71Updated last year
• kdgutier / esrnn_torch
  ☆158Updated 3 years ago
• EthanRosenthal / skits
  scikit-learn-inspired time series
  ☆198Updated 9 months ago
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆225Updated 3 years ago
• OVVO-Financial / NNS
  Nonlinear Nonparametric Statistics
  ☆68Updated last week
• gdmarmerola / random-stuff
  Random stuff I've been working on
  ☆28Updated last year