Learning function operators with neural networks.
-
Updated
Jul 19, 2024 - Python
Learning function operators with neural networks.
An elegant PyTorch deep reinforcement learning library.
Normalizing flows for neuro-symbolic AI
The Python library for sensible AI.
pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation
An elegant PyTorch deep reinforcement learning library.
The pyDVL slides for pyData Berlin 2024
A fork of the anomalib library for research purposes
Fork of ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021
Domain specific language for configuration spaces in Python/Cython. Useful for hyperparameter optimization and algorithm configuration.
Algorithms for data valuation and benchmarks
Code for the submission to the ML Reproducibility Challenge 2022, reproducing "If you like Shapley then you'll love the core"
Experiments for the paper "Class-wise and reduced calibration methods", ICMLA 2022
Add a description, image, and links to the transferlab topic page so that developers can more easily learn about it.
To associate your repository with the transferlab topic, visit your repo's landing page and select "manage topics."