FATE is an open-source federated learning platform that enables multiple organizations to collaboratively train machine learning models without exposing raw data to any party. It provides a complete framework for private data collaboration, allowing participants to jointly compute on sensitive information while maintaining data privacy and security guarantees through secure multi-party computation protocols. The platform distinguishes itself through its comprehensive infrastructure management capabilities, supporting automated deployment of multi-party clusters using Ansible-driven provisioni
Bokeh is a Python data visualization library and interactive plotting framework used to create high-performance graphics and data dashboards that render in web browsers. It serves as a tool for generating standalone HTML documents, embedded components for digital notebooks, and full-stack web applications powered by a Python backend. The project distinguishes itself through its ability to handle large or streaming datasets while maintaining smooth interactivity. It enables linked brushing across multiple views, allowing data selected in one plot to automatically highlight corresponding data i
A python library for decision tree visualization and model interpretation.
Die Hauptfunktionen von parrt/dtreeviz sind: Decision Tree Models, Model Visualization, Visualization.
Open-Source-Alternativen zu parrt/dtreeviz sind unter anderem: federatedai/fate — FATE is an open-source federated learning platform that enables multiple organizations to collaboratively train… astrofrog/fast-histogram. bokeh/bokeh — Bokeh is a Python data visualization library and interactive plotting framework used to create high-performance… catboost/catboost — CatBoost is a gradient boosting machine learning library used to train decision tree ensembles for regression,… cerlymarco/linear-tree. astrofrog/mpl-scatter-density.