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@tml-tuebingen

TML Tübingen

Theory of Machine Learning Group, University of Tübingen
README.md

👋 Welcome to the GitHub Page of the Theory of Machine Learning Group at the University of Tübigen.

Our focus is on the theoretical foundations of machine learning 🤖. We aim to understand algorithms from a formal perspective and provide guarantees for their performance. 👨‍🔬

Our Research spans:

🌈 Explainable Machine Learning
🔎 When Machine Learning Algorithms Provably Fail
⚖️ Understanding Implicit Assumptions and Hidden Biases
📐 Formal Mathematical Guarantees

Here, you will find the code and datasets that accompany our publications.

For more about our team, research, and teaching activities, check out our official website 🌐

Popular repositories Loading

  1. chatgpt-algorithm-exam chatgpt-algorithm-exam Public

    ChatGPT Participates in a Computer Science Exam (2023)

    31 1

  2. nshap nshap Public

    Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.

    Jupyter Notebook 18 2

  3. tangles tangles Public

    This is a python package for data clustering using the tangles algorithmic framework: Clustering with Tangles -- Algorithmic Framework and Theoretical Guarantees (JMLR)

    Jupyter Notebook 7 5

  4. forgetting-contamination forgetting-contamination Public

    How much can we forget about Data Contamination? (ICML 2025)

    Jupyter Notebook 6 2

  5. torch-module-monitor torch-module-monitor Public

    Monitor the training of your PyTorch modules

    Python 4

  6. explanations-manifold explanations-manifold Public

    Code Repository for "The Manifold Hypothesis for Gradient-Based Explanations", CVPR 2023 Workshops

    Jupyter Notebook 3

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