a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results
-
Updated
Dec 8, 2020 - Python
a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results
[NeurIPS 2023] The PyTorch Implementation of Scheduled (Stable) Weight Decay.
The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".
Machine Learning university project
Implementation of some new techniques from fastai and other papers which works with keras models
Super-Convergence on CIFAR10
Add a description, image, and links to the weight-decay topic page so that developers can more easily learn about it.
To associate your repository with the weight-decay topic, visit your repo's landing page and select "manage topics."