konstantint / SKompiler
A tool for compiling trained SKLearn models into other representations (such as SQL, Sympy or Excel formulas)
☆173Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for SKompiler
- Bulwark is a package for convenient property-based testing of pandas dataframes.☆223Updated 4 years ago
- a python grammar for evolutionary algorithms and heuristics☆187Updated 2 years ago
- python library for automated dataset normalization☆112Updated last year
- Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM☆82Updated 10 months ago
- Machine learning prediction in pure Python☆86Updated 3 years ago
- Pandas ExtensionDType/Array backed by Apache Arrow☆229Updated last year
- 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
- Phi_K correlation analyzer library☆157Updated last week
- Summarise and explore Pandas DataFrames☆100Updated 4 years ago
- Decorators that logs stats.☆105Updated last year
- Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.☆73Updated 9 months ago
- Time should be taken seer-iously☆311Updated last year
- Data Analysis Baseline Library☆131Updated 3 weeks ago
- GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3☆329Updated 4 years ago
- A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosyst…☆151Updated 9 months ago
- Type System for Data Analysis in Python☆209Updated 3 months ago
- Data Analysis Baseline Library☆724Updated 3 months ago
- The easy way to write your own flavor of Pandas☆301Updated last month
- JupyterLab extension to create GitHub commits & pull requests☆114Updated 4 months ago
- Mini module with syntax sugar for pandas/sklearn☆107Updated 4 years ago
- edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab☆224Updated 5 years ago
- General Interpretability Package☆58Updated last year
- Super lightweight function registries for your library☆173Updated 5 months ago
- Practical active learning in python☆189Updated 2 years ago
- pymc-learn: Practical probabilistic machine learning in Python☆223Updated 3 years ago
- Automated Data Science and Machine Learning library to optimize workflow.☆104Updated last year
- Primrose modeling framework for simple production models☆34Updated 8 months ago
- Lightweight, Python library for fast and reproducible experimentation☆134Updated 5 years ago
- Confidence intervals for scikit-learn forest algorithms☆284Updated 4 months ago
- Ensemble topic modelling with pLSA☆112Updated 3 years ago