PiML-Toolbox

ML toolkit

A Python toolbox for developing and diagnosing interpretable machine learning models with low-code and high-code APIs.

PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics

GitHub

1k stars
23 watching
123 forks
Language: Jupyter Notebook
last commit: 26 days ago
Linked from 1 awesome list

interpretable-machine-learninglow-codeml-workflowmodel-diagnostics

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
zygmuntz/kaggle-blackbox A toolkit for building and training machine learning models using a simple, easy-to-use interface. 115
autoviml/auto_viml Automatically builds multiple machine learning models using a single line of code. 525
jphall663/interpretable_machine_learning_with_python Teaching software developers how to build transparent and explainable machine learning models using Python 673
datacanvasio/cooka An automated machine learning toolkit with visualization and feature engineering capabilities 40
ml-tooling/ml-workspace An all-in-one web-based IDE for machine learning and data science 3,438
pku-dair/mindware An efficient AutoML system that automates the machine learning lifecycle 52
vectorinstitute/cyclops A toolkit for facilitating research and deployment of machine learning models in healthcare 76
thumnlab/autogl An autoML framework for machine learning on graphs, enabling researchers and developers to automate the process of building and training neural networks on graph data. 1,088
ayush1997/visualize_ml A Python package for data analysis and visualization in machine learning 200
jhashanti/machine-learning-with-r A comprehensive R package providing tools and techniques for building machine learning models in supervised learning. 9
vhellendoorn/code-lms A guide to using pre-trained large language models in source code analysis and generation 1,782
jvalegre/robert Automated machine learning protocols for cheminformatics using Python 38
lehy/ocaml-sklearn Enables machine learning with scikit-learn in OCaml 34
csinva/imodels An open-source package that provides interpretable machine learning models compatible with scikit-learn. 1,400
visenger/handson-ml Teaches Machine Learning fundamentals in Python using Scikit-Learn and TensorFlow 6