yellowbrick
Model selector
Tools to facilitate the selection of machine learning models through visual diagnostics and analysis.
Visual analysis and diagnostic tools to facilitate machine learning model selection.
4k stars
103 watching
558 forks
Language: Python
last commit: about 2 years agoLinked from 5 awesome lists
anacondaestimatormachine-learningmatplotlibmodel-selectionpythonscikit-learnvisual-analysisvisualizationvisualizer
ethicalml/awesome-production-machine-learning
kelvins/awesome-mlops
krzjoa/awesome-python-data-science
lopusz/awesome-interpretable-machine-learningRelated projects:
| Repository | Description | Stars |
|---|---|---|
 ayush1997/visualize_ml | A Python package for data analysis and visualization in machine learning | 198 |
 oegedijk/explainerdashboard | A Python library for building interactive dashboards to explain machine learning models | 2,321 |
 bloodaxe/pytorch-toolbelt | A comprehensive Python library with PyTorch extensions for rapid prototyping and machine learning model development. | 1,523 |
 jvalegre/robert | Automated machine learning protocols for cheminformatics using Python | 39 |
 marcotcr/lime | A tool for explaining the decisions of machine learning models | 11,663 |
 alankbi/detecto | A Python package for building and deploying computer vision models with PyTorch | 614 |
 giuse/machine_learning_workbench | A comprehensive framework for practical machine learning in Ruby. | 20 |
 jphall663/interpretable_machine_learning_with_python | Teaching software developers how to build transparent and explainable machine learning models using Python | 673 |
 marcelrobeer/explabox | An exploratory tool for analyzing and understanding machine learning models | 14 |
 amueller/introduction_to_ml_with_python | A repository of notebooks and code for teaching machine learning with Python | 7,483 |
 parrt/dtreeviz | A Python library for visualizing and interpreting decision trees in machine learning models. | 2,984 |
 kaiyangzhou/dassl.pytorch | A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision. | 1,236 |
 zhanghang1989/pytorch-encoding | A Python framework for building deep learning models with optimized encoding layers and batch normalization. | 2,044 |
 pbiecek/biocoll2021 | An open-source tutorial project providing materials and datasets for teaching machine learning with R | 8 |
 ogrisel/parallel_ml_tutorial | A tutorial on parallel machine learning with scikit-learn and IPython | 1,593 |