oegedijk Goto Github PK
Name: Oege Dijk
Type: User
Company: Thoughtworks
Bio: Lead Machine Learning Engineer @ thoughtworks
Twitter: oegedijk
Location: Amsterdam, the Netherlands
Name: Oege Dijk
Type: User
Company: Thoughtworks
Bio: Lead Machine Learning Engineer @ thoughtworks
Twitter: oegedijk
Location: Amsterdam, the Netherlands
Repository that hosts my blog (created using fastpages)
Example of how to use tabs in a plotly's Dash framework across multiple files
OOP components for plotly dash that make dashboard components composable, reusable and configurable
Deployment example of dash_oop_components library
Example of how to include querystrings to save state url in plotly's Dash
short guide on how to deploy xgboost machine learning models to production on AWS lambda
A python library for decision tree visualization and model interpretation.
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
A conda-smithy repository for explainerdashboard.
A demonstration of the explainerdashboard package that that displays model quality, permutation importances, SHAP values and interactions, and individual trees for sklearn RandomForestClassifiers, etc
The fastai deep learning library, plus lessons and tutorials
Simple Login - Login Extension for Flask - maintainer @cuducos
repo to experiment with golang
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.
⚡ Building applications with LLMs through composability ⚡
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.
python partial dependence plot toolbox
repo to debug github actions error where pytest generates 127 error
notebooks for internal Python for Datascience course that I teach at UWV.
A scikit-learn compatible estimator based on business-rules with interactive dashboard included
demo deployed to heroku of the rule-estimator dashboard
Example of how to deploy an ML algorithm together with SHAP explanations to AWS Sagemaker, including a front end dashboard.
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.
Python package to accelerate the sparse matrix multiplication and top-n similarity selection
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.