tsterbak
Data Scientist, Mathematician, Machine Learning Engineer, Open Source developer
Berlin, Germany
Pinned Repositories
biaslyze
The NLP Bias Identification Toolkit
openandroidinstaller
Makes installing alternative Android distributions nice and easy.
keras_attention
Contains an implementation of the attention mechanism and a keras text classifier wrapper.
keras_tta
Simple test time augmentation (TTA) for keras python library.
kernel_eca
Scikit-learn compatible Kernel Entropy Component Analysis in Python
nlp-topic-modeling-workshop-2022
Contains notebooks and requirements for a workshop on NLP and Topic Modeling in 2022.
promptmage
simplifies the process of creating and managing LLM workflows as a self-hosted solution.
pydata2018-amsterdam
Contains the slides and additional resources to my talk about explaining blackbox text classifiers at PyData2018 in Amsterdam
pydataberlin-2019
This Repository contains the material for my tutorial "Managing the end-to-end machine learning lifecycle with MLFlow" at pyData/pyCon Berlin 2019.
pydataberlin-2022
This Repository contains the material for the tutorial "Introduction to MLOps with MLflow" held at pyData/pyCon Berlin 2022.
tsterbak's Repositories
tsterbak/kernel_eca
Scikit-learn compatible Kernel Entropy Component Analysis in Python
tsterbak/machine-learning
Here I post some code about and for machine learning
tsterbak/auto-sklearn
tsterbak/computing-homology
Python code for the post "Computing Homology"
tsterbak/data-mcdonalds-nutritionfacts
Free, open source data set describing McDonalds Nutrition Facts for popular menu items in SQL, SQLite, JSON, Excel, OpenOffice Spreadsheet, Google Sheets, TSV, etc. Updated November 2015. :hamburger: :fries: :cookie: :cake:
tsterbak/lpproj
Scikit-learn compatible Locality Preserving Projections in Python
tsterbak/pgbart
Particle Gibbs for Bayesian Additive Regression Trees
tsterbak/PyMTL
PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-learn, SciPy and NumPy.
tsterbak/Python-ELM
Extreme Learning Machine implementation in Python
tsterbak/randomferns-python
Why Random Ferns? Because 10 lines of code [1].
tsterbak/rep
Machine Learning toolbox for Humans
tsterbak/sklearn-stub
A template for scikit-learn extensions
tsterbak/tensorflow
Computation using data flow graphs for scalable machine learning
tsterbak/vowpal_porpoise
lightweight python wrapper for vowpal wabbit