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Hi there šŸ‘‹ - Malte here

  • šŸ”­ Iā€™m currently working on Credit Risk modelling at the intersection of statistical modelling and ML
  • šŸŒ± Iā€™m currently learning MLOps, how to bring something into production, and ML robust systems
  • šŸ‘Æ Iā€™m looking to collaborate on all kinds of topics related to my research on credit risk and transfer learning.
  • šŸ“« Reach out on LinkedIn

leuschnm's Projects

adversarial-robustness-toolbox icon adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

cleverhans icon cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

forest icon forest

Transfer learning for Decion Trees.

innvestigate icon innvestigate

A toolbox to iNNvestigate neural networks' predictions!

llm_github_actions icon llm_github_actions

We implement a github actions llm that creates google docstrings, typing, linting, and the sphinx documentation.

pydataberlin-2022 icon pydataberlin-2022

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

qtrader icon qtrader

Reinforcement Learning for Portfolio Management

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