Name: Fabian Müller
Type: User
Company: @statworx
Bio: COO @STATWORX
Twitter: fabianmmueller
Location: Germany
Blog: www.statworx.com
I'm Fabian Müller, COO at statworx©. I have been dealing with the topics of data science and machine learning for many years now. I am particularly interested in forecasting with ML, NLP, CV, and methods for explainable machine learning (XAI).
You also find me on:
bayesian-regression
Simulating bayesian regression using rjags
boosting-example
Quick visual example of the boosting technique for fitting arbitrary functions
car-classification
Visual car recognition using ResNet-based transfer learning
clip-latent
Minimal working example for CLIP embeddings
copilot
Test Github's Copilot for ML Projects
cv-simulation
Simulation study on the effect of fold assignment in hyper-parameter tuning via cross-validation
dataiku-docker
Customer docker file for Dataiku
diffusion-from-scratch
Example of how denoising diffusion probabilistic models work
fabianmax
About Me
forecasting-xai
Showcase for Forecasting Explainability using New Car Sales in Norway
hr-analytics-xai
Dataiku XAI showcase project using XAI features like PDP and SHAP
intern-carfusion
introduction-deep-learning
A small introduction to deep learning using python
m4metalearning
ml-automation
Benchmark of current ML automation frameworks
pet-finder
Applying ML interpretation methods on the pet-finder Kaggle challenge
regularized-greedy-forest
Benchmark of RGF vs. various other algorithms
rossmann-sales-forecasting
Workshop resources
sklearn-examples
stable-diffusion
Inference Speed Benchmark for Stable Diffusion
streamlit-gcp-appengine
word2vec
Word2Vec (gensim) trained on english wikipedia
xgboost_tree_linear
Boosting base learner simulation in xgboost
React
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
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
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.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
