Tobias Sterbak (@tsterbak)
github

tsterbak

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Top repositories

1

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.
Jupyter Notebook
39
star
2

keras_attention

Contains an implementation of the attention mechanism and a keras text classifier wrapper.
Python
28
star
3

keras_tta

Simple test time augmentation (TTA) for keras python library.
Python
22
star
4

pydataberlin-2022

This Repository contains the material for the tutorial "Introduction to MLOps with MLflow" held at pyData/pyCon Berlin 2022.
Jupyter Notebook
22
star
5

kernel_eca

Scikit-learn compatible Kernel Entropy Component Analysis in Python
Python
13
star
6

promptmage

simplifies the process of creating and managing LLM workflows as a self-hosted solution.
Python
12
star
7

pydata2018-amsterdam

Contains the slides and additional resources to my talk about explaining blackbox text classifiers at PyData2018 in Amsterdam
Jupyter Notebook
4
star
8

scikit-progress

Progressbars for scikit-learn
Python
3
star
9

tree-learn

Scikit-learn compatible implementation of a huge range of differnet decision tree algorithms and tree-based methods
Python
2
star
10

pydata_meetup_berlin_feb_2019

This repository contains the slides to my talk
2
star
11

nlp-topic-modeling-workshop-2022

Contains notebooks and requirements for a workshop on NLP and Topic Modeling in 2022.
Jupyter Notebook
2
star
12

machine-learning

Here I post some code about and for machine learning
1
star
13

sample_dataloader

This repository contains the code for an example text dataloader for similarity training.
Python
1
star
14

scikit-stack

Implements scikit-learn wrappers for stacking.
Python
1
star
15

Regularized-Greedy-Forest

A scikit-learn wrapper of the regularized greedy forest algorithm by [Johnson & Zhang, 2014].
Python
1
star
16

product-review-research

An AI webapp build with promptmage to provide in-depth analysis for products by researching trustworthy online reviews.
HTML
1
star