Experiments for the paper "Class-wise and reduced calibration methods", ICMLA 2022
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Updated
Oct 13, 2022 - Python
Experiments for the paper "Class-wise and reduced calibration methods", ICMLA 2022
A library for calibrating classifiers and computing calibration metrics
Repository with material for the RL workshop at TUM.AI
Code for the submission to the ML Reproducibility Challenge 2022, reproducing "If you like Shapley then you'll love the core"
Algorithms for data valuation and benchmarks
TeXmacs plugin for TransferLab contributions
Domain specific language for configuration spaces in Python/Cython. Useful for hyperparameter optimization and algorithm configuration.
Fork of ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021
TfL course on probabilistic model checking using storm
A fork of the anomalib library for research purposes
An elegant PyTorch deep reinforcement learning library.
Learning function operators with neural networks.
The pyDVL slides for pyData Berlin 2024
Software design principles for machine learning applications
The Python library for sensible AI.
Normalizing flows for neuro-symbolic AI
Repository of the Tranferlab Practical Anomaly Detection workshop
An elegant PyTorch deep reinforcement learning library.
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