An elegant PyTorch deep reinforcement learning library.
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Updated
Jun 17, 2024 - Python
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
A fork of the anomalib library for research purposes
Fork of ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021
Experiments for the paper "Class-wise and reduced calibration methods", ICMLA 2022
Code for the submission to the ML Reproducibility Challenge 2022, reproducing "If you like Shapley then you'll love the core"
Domain specific language for configuration spaces in Python/Cython. Useful for hyperparameter optimization and algorithm configuration.
The pyDVL slides for pyData Berlin 2024
Algorithms for data valuation and benchmarks
An elegant PyTorch deep reinforcement learning library.
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