Reverse Dependencies of dtreeviz

The following projects have a declared dependency on dtreeviz:

• AMLBID — Transparent and Auto-explainable AutoML
• clustersight — A package to analyze and interpret categorical clustered data
• deepcohort — Cohort formation based on Automated Data Slicing
• EtaML — An automated machine learning platform with a focus on explainability
• evo-science — Awesome evo_science created by maycuatroi
• explainerdashboard — Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
• fastAIcourse — fastAIcourse
• heatpanel — Hybrid Electric and Heat Panel Model
• InterpretME — An interpretable machine learning pipeline over knowledge graphs
• iohxplainer — eXplainable Benchmarking for Iterative Optimization Heuristics
• kolibri-ml — Deep Learning and more NLP toolkit
• majora — Majora is a python library that automates common tasks in your exploratory data analysis.
• nbnode — A python package for non-binary trees and simulation of flow cytometry data.
• pdtr — 自动决策树规则挖掘工具包
• scorecardpipeline — 评分卡pipeline建模包，封装toad、scorecardpy、optbinning等评分卡建模相关组件，API风格与sklearn高度一致，自持自定义模型报告输出
• Simba-UW-no-tf — Toolkit for computer classification of complex social behaviors in experimental animals
• Simba-UW-tf — Toolkit for computer classification of complex social behaviors in experimental animals
• Simba-UW-tf-dev — Toolkit for computer classification of complex social behaviors in experimental animals
• simpml — SimpML is an open-source, no/low-code machine learning library in Python that simplifies and automates machine learning workflows.
• that-ml-library — A useful package for EDA and quick ML model building
• thatdslibrary — A useful package for EDA and quick ML model finetuning
• validating-models — Supporting Explainable AI on Semantic Constraint Validation
• veta — Simple variant prediction evaluation