Convert scikit-learn models and pipelines to ONNX
APACHE-2.0 License
Experiment tracking for scikit-learn. 🧩 Log, organize, visualize and compare model metrics, param...
Samples and Tools for Windows ML.
Nyoka is a Python library that helps to export ML models into PMML (PMML 4.4.1 Standard).
SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
Open standard for machine learning interoperability
Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model...
Makes Weka algorithms available in scikit-learn, by using python-weka-wrapper3 under the hood.
Seamlessly integrate LLMs into scikit-learn.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Python-Wrapper for Francesco Parrella's OnlineSVR C++ implementation with scikit-learn-compatible...
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
ONNXMLTools enables conversion of models to ONNX
Transpile scikit-learn models to Flutter
Transpile trained scikit-learn estimators to C, Java, JavaScript and others.
Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and...