Pytorch-Named-Entity-Recognition-with-transformers
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Updated
Jun 1, 2020 - Python
Pytorch-Named-Entity-Recognition-with-transformers
A Parallel Graphlet Decomposition Library for Large Graphs
Implementation of gradient-based adversarial attack(FGSM,MI-FGSM,PGD)
Implementation of adversarial training under fast-gradient sign method (FGSM), projected gradient descent (PGD) and CW using Wide-ResNet-28-10 on cifar-10. Sample code is re-usable despite changing the model or dataset.
Reproduce multiple adversarial attack methods
Paddle-Adversarial-Toolbox (PAT) is a Python library for Deep Learning Security based on PaddlePaddle.
Official implementation of the paper: "REGroup: Rank-aggregating Ensemble of Generative Classifiers for Robust Predictions", IEEE WACV, 2022
Projeto Oficial do Módulo de Controle de Desempenho e Utilidades do SEI. PROJETO DE DESENVOLVIMENTO COLABORATIVO, contudo, deve abrir Issue de demanda para discussão antes de qualquer desenvolvimento.
Code implementation of our AAAI'22 paper "Improved Gradient-Based Adversarial Attacks for Quantized Networks"
some tricks for sentence representation
Programa de Gestão e Desempenho (PGD) versão SESEP (Secretaria de Avaliação e Gestão da Informação) em Docker/container.
Projected Gradient Descent (PGD), inverted and amplified -> prompt & generate images with CLIP
Homework of Security and Privacy of Machine Learning (SPML Lectured by Shang-Tse Chen at NTU)
A resources of PGD class tasks. With this repository, you can practice pgdit class and home tasks run them based on your requirements.
Gradient Decent, Projected Gradient Decent and Stochastic Gradient Decent implementaion in python
PyTorch implementation of projected gradient descent (PGD) adversarial noise attack
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