pyro-ppl / Pyro-M5-Starter-Kit

Related projects ⓘ

Alternatives and complementary repositories for Pyro-M5-Starter-Kit

• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆141Updated last year
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆51Updated 3 years ago
• parrt / stratx
  stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables
  ☆64Updated 6 months ago
• brendanhasz / probflow
  A Python package for building Bayesian models with TensorFlow or PyTorch
  ☆171Updated 2 years ago
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆77Updated 5 months ago
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆143Updated 9 months ago
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆223Updated last year
• MBrouns / timeseers
  Time should be taken seer-iously
  ☆311Updated last year
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆220Updated 10 months ago
• ericmjl / causality
  In which I play with the ideas surrounding causality
  ☆50Updated 2 years ago
• sktime / skpro
  A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
  ☆248Updated this week
• CollinRooney12 / htsprophet
  Hierarchical Time Series Forecasting using Prophet
  ☆143Updated 3 years ago
• JingyuHe / XBART
  ☆88Updated 10 months ago
• CDonnerer / xgboost-distribution
  Probabilistic prediction with XGBoost.
  ☆100Updated 4 months ago
• gdmarmerola / random-stuff
  Random stuff I've been working on
  ☆28Updated 10 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
• pymc-devs / pymc-bart
  ☆88Updated this week
• probml / bandits
  Bayesian Bandits
  ☆66Updated last year
• mgrankin / fast_tabnet
  TabNet for fastai
  ☆123Updated 8 months ago
• aldente0630 / gauss-rank-scaler
  Scikit-learn compatible implementation of the Gauss Rank scaling method
  ☆73Updated last year
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆113Updated last year
• guillermo-navas-palencia / cprior
  Fast Bayesian A/B and Multivariate testing.
  ☆36Updated last year
• jeffalstott / pystan_time_series
  Basic time series modeling with Stan and Pystan
  ☆33Updated 7 years ago
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆223Updated 3 years ago
• EthanRosenthal / skits
  scikit-learn-inspired time series
  ☆197Updated 8 months ago
• WinVector / pyvtreat
  vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…
  ☆120Updated 5 months ago
• kdgutier / esrnn_torch
  ☆156Updated 3 years ago
• discdiver / causal-inference-python-packages
  List of python packages for causal inference
  ☆17Updated 3 years ago
• numeristical / structureboost
  Gradient boosting using categorical structure
  ☆20Updated 4 months ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆56Updated 2 years ago