skops is a Python library helping you share your scikit-learn based models and put them in production
MIT License
scikit-learn: machine learning in Python
A unified framework for machine learning with time series
Base classes for creating scikit-learn-like parametric objects, and tools for working with them.
python package to simplify data modeling built on top of sklearn
SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CI...
A unified framework for tabular probabilistic regression and probability distributions in python
Hierarchical Time Series Forecasting with a familiar API
Error Learning Package for Machine Learning
A scikit-learn compatible neural network library that wraps PyTorch
Transpile trained scikit-learn estimators to C, Java, JavaScript and others.
Sequential model-based optimization with a `scipy.optimize` interface
Natural Intelligence is still a pretty good idea.
🏬 modelstore is a Python library that allows you to version, export, and save a machine learning ...
A robust, and flexible open source User & Entity Behavior Analytics (UEBA) framework used for Sec...