An elegant PyTorch deep reinforcement learning library.

Software design principles for machine learning applications

pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation

The Python library for sensible AI.

Learning function operators with neural networks.

A library for calibrating classifiers and computing calibration metrics

Normalizing flows for neuro-symbolic AI

Repository of the Tranferlab Practical Anomaly Detection workshop

Repository for the main part of the Machine Learning Control Training https://aai-institute.github.io/tfl-training-machine-learning-control

Code for the submission to the ML Reproducibility Challenge 2022, reproducing "If you like Shapley then you'll love the core"

Fork of ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021

TeXmacs plugin for TransferLab contributions

The pyDVL slides for pyData Berlin 2024

Repository of the appliedAI Institute TransferLab training "Simulation-Based Inference"

Experiments for the paper "Class-wise and reduced calibration methods", ICMLA 2022

Code for the reproduction of Class-wise Shapley paper from Schoch, Xu, Ji [2022].

An elegant PyTorch deep reinforcement learning library.

TfL course on probabilistic model checking using storm

Repository with material for the RL workshop at TUM.AI