tsterbak/Regularized-Greedy-Forest

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Created over 8 years ago
Updated over 8 years ago

tsterbak/Regularized-Greedy-Forest

tsterbak

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

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

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.

pydataberlin-2022

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

Jupyter Notebook

kernel_eca

Scikit-learn compatible Kernel Entropy Component Analysis in Python

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

Jupyter Notebook

scikit-progress

Progressbars for scikit-learn

tree-learn

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

pydata_meetup_berlin_feb_2019

This repository contains the slides to my talk

nlp-topic-modeling-workshop-2022

Contains notebooks and requirements for a workshop on NLP and Topic Modeling in 2022.

Jupyter Notebook

machine-learning

Here I post some code about and for machine learning

sample_dataloader

This repository contains the code for an example text dataloader for similarity training.

scikit-stack

Implements scikit-learn wrappers for stacking.

product-review-research

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