lironghuo's repositories
adversarial-robustness-toolbox
Python library for adversarial machine learning, attacks and defences for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, Gaussian processes and more with multiple framework support
Adversarial-Defense-by-Suppressing-High-Frequencies
An efficient adversarial defense method with strong insights which won the fifth place of the IJCAI-2019 Alibaba Adversarial AI Challenge.
attack-and-defense-methods
A curated list of papers of adversarial examples and defense methods.
bayesian-machine-learning
Notebooks related to Bayesian methods for machine learning
cifar10_challenge
A challenge to explore adversarial robustness of neural networks on CIFAR10.
ConvE
Convolutional 2D Knowledge Graph Embeddings resources
FML
Fenchel Mini-Max Learning
FreeLB
Adversarial Training for Natural Language Understanding
HFC
Implementation for the paper (CVPR Oral): High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks
ImageNet-Adversarial-Training
ImageNet classifier with state-of-the-art adversarial robustness
LtC-MSDA
Implementation of Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation (ECCV 2020).
mnist_challenge
A challenge to explore adversarial robustness of neural networks on MNIST.
moco
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
nni
An open source AutoML toolkit for neural architecture search and hyper-parameter tuning.
PGD-pytorch
A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"
PyContrast
PyTorch implementation of Contrastive Learning methods; List of awesome-contrastive-learning papers
pytorch-adversarial-training
PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.
pytorch-imagenet-preactresnet
Training ImageNet dataset with Pre-Activation Resnet models
PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
Pytorch_Quantize_impls
Some recent Quantizing techniques on PyTorch
resume
An elegant \LaTeX\ résumé template. 大陆镜像 https://gods.coding.net/p/resume/git
self-supervised-relational-reasoning
Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning"
ss-ood
Self-Supervised Learning for OOD Detection (NeurIPS 2019)
SupContrast
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
swa_gaussian
Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"
TRADES
TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)
TRADES-smoothing
TRADES + random smoothing for certifiable robustness
WideResNet-pytorch
Wide Residual Networks (WideResNets) in PyTorch