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
- DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)☆206Updated 3 years ago
- Python package for Imputation Methods☆251Updated last year
- Hierarchical Time Series Forecasting with a familiar API☆225Updated 2 years ago
- Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM☆84Updated last year
- Time should be taken seer-iously☆317Updated 2 years ago
- a python grammar for evolutionary algorithms and heuristics☆191Updated 3 years ago
- DataFrame support for scikit-learn.☆63Updated last month
- BATS and TBATS forecasting methods☆183Updated 2 years ago
- SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.☆153Updated 6 months ago
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆283Updated last week
- stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables☆66Updated last year
- DeltaPy - Tabular Data Augmentation (by @firmai)☆554Updated 2 years ago
- PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.☆459Updated last week
- 🍦 Deployment tool for online machine learning models☆98Updated 3 years ago
- Phi_K correlation analyzer library☆167Updated last week
- An extension of CatBoost to probabilistic modelling☆147Updated last year
- Supervised forecasting of sequential data in Python.☆55Updated 6 years ago
- GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3☆327Updated 5 years ago
- Better `keras` models for time series and beyond☆61Updated last year
- Wrap-up to automatically tune xgboost in Python.☆80Updated 4 years ago
- Time series analysis suite☆100Updated 2 years ago
- pymc-learn: Practical probabilistic machine learning in Python☆232Updated 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 9 months ago
- The goal of pandas-log is to provide feedback about basic pandas operations. It provides simple wrapper functions for the most common fun…☆216Updated 4 years ago
- Python package for causal inference using Bayesian structural time-series models.☆241Updated 5 years ago
- Python package for performing the Alternating Conditional Expectation (ACE) regression☆72Updated 2 years ago
- Buy Till You Die and Customer Lifetime Value statistical models in Python.☆117Updated last year
- Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbation…☆164Updated 3 months ago
- Distance metrics which can handle mixed-type data and missing values☆59Updated 3 years ago