Pinned Repositories
dash-tabs
Example of how to use tabs in a plotly's Dash framework across multiple files
dash_oop_components
OOP components for plotly dash that make dashboard components composable, reusable and configurable
dash_oop_demo
Deployment example of dash_oop_components library
dash_querystrings
Example of how to include querystrings to save state url in plotly's Dash
explainerdashboard
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
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
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.
rule_estimator
A scikit-learn compatible estimator based on business-rules with interactive dashboard included
sagemaker-creditscore-explainer
Example of how to deploy an ML algorithm together with SHAP explanations to AWS Sagemaker, including a front end dashboard.
simplebandit
lightweight contextual bandit library for ts/js
oegedijk's Repositories
oegedijk/explainerdashboard
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
oegedijk/dash_oop_components
OOP components for plotly dash that make dashboard components composable, reusable and configurable
oegedijk/rule_estimator
A scikit-learn compatible estimator based on business-rules with interactive dashboard included
oegedijk/dash_querystrings
Example of how to include querystrings to save state url in plotly's Dash
oegedijk/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
oegedijk/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.
oegedijk/dash_oop_demo
Deployment example of dash_oop_components library
oegedijk/sagemaker-creditscore-explainer
Example of how to deploy an ML algorithm together with SHAP explanations to AWS Sagemaker, including a front end dashboard.
oegedijk/dash-tabs
Example of how to use tabs in a plotly's Dash framework across multiple files
oegedijk/blog
Repository that hosts my blog (created using fastpages)
oegedijk/deploy-xgboost-to-aws-lambda
short guide on how to deploy xgboost machine learning models to production on AWS lambda
oegedijk/python-datascience-course
notebooks for internal Python for Datascience course that I teach at UWV.
oegedijk/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.
oegedijk/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.
oegedijk/oegedijk
oegedijk/sparse_dot_topn
Python package to accelerate the sparse matrix multiplication and top-n similarity selection
oegedijk/Dashboard_Test
oegedijk/dtreeviz
A python library for decision tree visualization and model interpretation.
oegedijk/explainerdashboard-feedstock
A conda-smithy repository for explainerdashboard.
oegedijk/fastai
The fastai deep learning library, plus lessons and tutorials
oegedijk/go-hello
repo to experiment with golang
oegedijk/hello-github-actions
oegedijk/langchain
⚡ Building applications with LLMs through composability ⚡
oegedijk/PDPbox
python partial dependence plot toolbox
oegedijk/pytest-actions
repo to debug github actions error where pytest generates 127 error
oegedijk/readme-with-video
oegedijk/ruledashboarddemo
demo deployed to heroku of the rule-estimator dashboard