An elegant PyTorch deep reinforcement learning library.
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.
Normalizing flows for neuro-symbolic AI
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
The pyDVL slides for pyData Berlin 2024
Experiments for the paper "Class-wise and reduced calibration methods", ICMLA 2022
An elegant PyTorch deep reinforcement learning library.
A fork of the anomalib library for research purposes
Domain specific language for configuration spaces in Python/Cython. Useful for hyperparameter optimization and algorithm configuration.
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