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Stochastic Weight Averaging in PyTorch

Pytorch1.0 Cn ⭐ 139

PyTorch 1.0 官方文档中文版，欢迎关注微信公众号：磐创AI

Fitting Random Labels ⭐ 118

Example code for the paper "Understanding deep learning requires rethinking generalization"

Entropy Sgd ⭐ 61

Lua implementation of Entropy-SGD

Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch

Code for the signSGD paper

Kfac Pytorch ⭐ 47

Pytorch implementation of KFAC and E-KFAC (Natural Gradient).

Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".

Pytorch Lr Dropout ⭐ 35

"Learning Rate Dropout" in PyTorch

Torch_swa_examples ⭐ 31

Hyperspherical Prototype Networks

SGD and Ordered SGD codes for deep learning, SVM, and logistic regression

Contrib_swa_examples ⭐ 22

Sgd Uap Torch ⭐ 9

Universal Adversarial Perturbations (UAPs) for PyTorch

Entropy Sgd Tf ⭐ 7

TensorFlow implementation of entropy SGD

Walk_with_sgd ⭐ 6

Experiments for the paper "A Walk with SGD" (https://arxiv.org/pdf/1802.08770.pdf)

Cifar10 Faster ⭐ 6

[WIP] Demonstration of training a small ResNet on CIFAR10 to 94% test accuracy in less 20 epochs

Cifar_pytorch Lightning ⭐ 6

CIFAR10, CIFAR100 results with VGG16,Resnet50,WideResnet using pytorch-lightning

Dnn_sharpest_directions ⭐ 6

Code for "On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length", ICLR 2019

Path-SGD: Path-Normalized Optimization in Deep Neural Networks

ND-Adam is a tailored version of Adam for training DNNs.

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