Oege Dijk

explainerdashboard. Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

dash_oop_components. OOP components for plotly dash that make dashboard components composable, reusable and configurable

rule_estimator. A scikit-learn compatible estimator based on business-rules with interactive dashboard included

explainingtitanic. A demonstration of the explainerdashboard package that that displays model quality, permutation importances, SHAP values and interactions, and individual trees for sklearn RandomForestClassifiers, etc

dash_querystrings. Example of how to include querystrings to save state url in plotly's Dash

keras-embeddings. Example of how to use entity embeddings (similar to word embeddings such as word2vec, but then generalized for any categorical feature) in a Keras model.

dash_oop_demo. Deployment example of dash_oop_components library

sagemaker-creditscore-explainer. Example of how to deploy an ML algorithm together with SHAP explanations to AWS Sagemaker, including a front end dashboard.

agentnb. A persistent Python notebook for AI agents, driven from the CLI

dash-tabs. Example of how to use tabs in a plotly's Dash framework across multiple files

blog. Repository that hosts my blog (created using fastpages)

sklearn-transformers. A collection of sklearn compatible transformer classes. Sklearn's standard transformers have some annoying lacunes (especially when fitting on new data with labels missing in training data for example), so these transformers fix that. Also some other more adventurous transformer classes. Shows how to quickly make transformer pipelines for e.g. making dataframe ready for neural net with embeddings.

deploy-xgboost-to-aws-lambda. short guide on how to deploy xgboost machine learning models to production on AWS lambda

python-datascience-course. notebooks for internal Python for Datascience course that I teach at UWV.

sparse_dot_topn. Python package to accelerate the sparse matrix multiplication and top-n similarity selection

Flask-SimpleLogin. Simple Login - Login Extension for Flask - maintainer @cuducos

oegedijk.

Name-Matching-In-Python. Surprisingly Effective Way To Name Matching In Python These are the same product name and customer name but were taken as different form i.e., deal with different versions of one name.