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adabelief-optimizer

Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"

adversarylosslandscape

On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them [NeurIPS 2020]

amp-regularizer

Code for our paper "Regularizing Neural Networks via Adversarial Model Perturbation", CVPR2021

analytical-learning-theory

97.39% on CIFAR10 with PyTorch

anl

Code for "Adversarial Noise Layer: Regularize Neural Network By Adding Noise"

asam

Implementation of ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks, ICML 2021.

awesome-latex-cv

Latex CV template built with Font Awesome.

awesome_deep_learning_interpretability

深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deeplearningtheory

dlth

eadam-optimizer

Some improvements on Adam

edward2

A simple probabilistic programming language.

efficient_sam

entropy-sgd-tf

TensorFlow implementation of entropy SGD

entropy-sgd-tf2.0-keras

:seedling::shower::high_brightness::arrow_upper_right: :deciduous_tree: ENTROPY-SGD: A deep learning optimizer for biasing gradients towards wide valleys

essentialmath

friendly-adversarial-training

Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)

gam

The official repo for CVPR2023 highlight paper "Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization".

gcdn

Deep Graph-Convolutional Image Denoising

gsam

PyTorch repository for ICLR 2022 paper (GSAM) which improves generalization (e.g. +3.8% top-1 accuracy on ImageNet with ViT-B/32)

lpf-sgd

moex

MoEx (Moment Exchange)

nmf-qmv_demo

Nonnegative matrix factorization-quadratic minimum volume (NMF-QMV) based hyperspectral unmixing

noisy_label_understanding_utilizing

ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels

o2u-net

paper "O2U-Net: A Simple Noisy Label Detection Approach for Deep Neural Networks" code

pac-bayes-ib

Official repo for PAC-Bayes Information Bottleneck.

pyhessian

PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

pytorch-classification

Classification with PyTorch.