heidelbergcement / hcrystalballLinks
A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.
☆150Updated last year
Alternatives and similar repositories for hcrystalball
Users that are interested in hcrystalball are comparing it to the libraries listed below
Sorting:
- scikit-learn-inspired time series☆200Updated last year
- Hierarchical Time Series Forecasting with a familiar API☆224Updated 2 years ago
- Python package for Imputation Methods☆248Updated last year
- Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM☆84Updated last year
- a python grammar for evolutionary algorithms and heuristics☆190Updated 3 years ago
- Time should be taken seer-iously☆316Updated 2 years ago
- GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3☆327Updated 4 years ago
- vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…☆121Updated 4 months ago
- An extension of CatBoost to probabilistic modelling☆143Updated last year
- Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbation…☆165Updated 3 months ago
- BATS and TBATS forecasting methods☆182Updated 2 years ago
- DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)☆204Updated 3 years ago
- Supervised forecasting of sequential data in Python.☆55Updated 6 years ago
- The easy way to write your own flavor of Pandas☆307Updated last month
- Python package for causal inference using Bayesian structural time-series models.☆240Updated 4 years ago
- 🍦 Deployment tool for online machine learning models☆97Updated 3 years ago
- Better `keras` models for time series and beyond☆61Updated last year
- Confidence intervals for scikit-learn forest algorithms☆288Updated last month
- The goal of pandas-log is to provide feedback about basic pandas operations. It provides simple wrapper functions for the most common fun…☆216Updated 3 years ago
- stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables☆66Updated last year
- Bulwark is a package for convenient property-based testing of pandas dataframes.☆225Updated 4 years ago
- pymc-learn: Practical probabilistic machine learning in Python☆228Updated 4 years ago
- Model Error Analysis for scikit-learn models.☆29Updated 3 years ago
- Hierarchical Time Series Forecasting using Prophet☆144Updated 4 years ago
- Data Analysis Baseline Library☆132Updated 7 months ago
- NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …☆107Updated 3 years ago
- Automated Data Science and Machine Learning library to optimize workflow.☆104Updated 2 years ago
- SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.☆146Updated last month
- Python package for performing the Alternating Conditional Expectation (ACE) regression☆71Updated 2 years ago
- General Interpretability Package☆58Updated 2 years ago