Icml Python Packages

antialiased-cnns

pip install antialiased-cnns to improve stability and accuracy

prdc

Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.

embedding-condensation

[𝗜𝗖𝗠𝗟 𝟮𝟬𝟮𝟲] Dispersion loss counteracts embedding condensation and improves generalization in small language models

fedscale

FedScale: Benchmarking Model and System Performance of Federated Learning

concrete-autoencoder

An implementation of Concrete Autoencoders

wsingular

Python package for the ICML 2022 paper "Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors".