heidelbergcement / hcrystalball
A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.
☆151Updated last year
Alternatives and similar repositories for hcrystalball:
Users that are interested in hcrystalball are comparing it to the libraries listed below
- scikit-learn-inspired time series☆200Updated last year
- Time should be taken seer-iously☆315Updated 2 years ago
- Python package for Imputation Methods☆248Updated last year
- GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3☆328Updated 4 years ago
- Hierarchical Time Series Forecasting with a familiar API☆224Updated last year
- vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr …☆121Updated 3 months ago
- DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)☆205Updated 3 years ago
- 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☆189Updated 3 years ago
- Bulwark is a package for convenient property-based testing of pandas dataframes.☆224Updated 4 years ago
- PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.☆459Updated last month
- Python package for performing the Alternating Conditional Expectation (ACE) regression☆71Updated 2 years ago
- Better `keras` models for time series and beyond☆61Updated last year
- An extension of CatBoost to probabilistic modelling☆142Updated last year
- SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.☆139Updated 2 weeks ago
- Model Error Analysis for scikit-learn models.☆29Updated 3 years ago
- BATS and TBATS forecasting methods☆182Updated 2 years ago
- AtsPy: Automated Time Series Models in Python (by @firmai)☆515Updated 2 years ago
- Buy Till You Die and Customer Lifetime Value statistical models in Python.☆116Updated 11 months ago
- DataFrame support for scikit-learn.☆63Updated last year
- 🍦 Deployment tool for online machine learning models☆97Updated 2 years ago
- Supervised forecasting of sequential data in Python.☆55Updated 6 years ago
- Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbation…☆165Updated 3 months ago
- pymc-learn: Practical probabilistic machine learning in Python☆228Updated 4 years ago
- DeltaPy - Tabular Data Augmentation (by @firmai)☆543Updated last year
- A package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn fr…☆57Updated 3 years ago
- Automated Data Science and Machine Learning library to optimize workflow.☆104Updated 2 years ago
- A simple, extensible library for developing AutoML systems☆175Updated last year
- The easy way to write your own flavor of Pandas☆305Updated 3 weeks ago
- Phi_K correlation analyzer library☆164Updated 3 months ago