本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

An adversarial example library for constructing attacks, building defenses, and benchmarking both

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning mode…

A Toolbox for Adversarial Robustness Research

台湾大学李宏毅老师机器学习

Elastic Malware Benchmark for Empowering Researchers

A collection of non-residential buildings for performance analysis and algorithm benchmarking

Implementation of the Model Inversion Attack introduced with Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures (Fredrikson Et al.)

COCO API - Dataset @ http://cocodataset.org/

An implementation of the 'fast gradient sign method' from the paper 'Explaining and Harnessing Adversarial Examples'

Occupancy detection of an office room from light, temperature, humidity and CO2 measurements

privacy preserving deep learning