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adversarial

Pytorch - Adversarial Training

adversarial-attacks-pytorch

This repository contains implementation of 4 adversarial attacks : FGSM, Basic Iterative Method, Projected Gradient Descent(Madry's Attack), and Carlini Wagner's L2 attack. Also contained is the code to visualise it, along with a detailed report and a poster explaining the various attacks.

adversarial-examples-in-pytorch

Pytorch code to generate adversarial examples on mnist and ImageNet data.

adversarial-examples-pytorch

Implementation of Papers on Adversarial Examples

adversarial-robustness

awesome-ai-security

:file_folder: #AISecurity

awesome-machine-learning-reliability

A curated list of awesome resources regarding machine learning reliability.

batchnorm-pruning

Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers https://arxiv.org/abs/1802.00124

blockdrop

BlockDrop: Dynamic Inference Paths in Residual Networks

bsn

Implementation of the Budgeted Super Networks

caffe

Caffe for Sparse and Low-rank Deep Neural Networks

channel-pruning

Channel Pruning for Accelerating Very Deep Neural Networks

compression_papers

condensenet

CondenseNet: Light weighted CNN for mobile devices

cutout

2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552

deep-reinforcement-learning-papers

awesome deep learning papers for reinforcement learning

deep_compression

Recreated deep compression's pruning, quantization and huffman encoding pipeline

deepcompression-pytorch

PyTorch Implementation of Deep Compression

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearningproject

An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.

deeprl

Highly modularized implementation of popular deep RL algorithms in PyTorch

deepsec

DEEPSEC: A Uniform Platform for Security Analysis of Deep Learning Model

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

dns_and_inq

Dynamic Network Surgery and Incremental Network Quantisation Keras Implementations

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

favae-anomaly-detection-localization-master

This is an unofficial implementation of ' Anomaly localization by modeling perceptual features'

hellogithub

:octocat: GitHub 上好玩、容易上手的项目，帮你找到编程的乐趣。欢迎推荐、自荐项目，让更多人知道你的项目⭐️

impl-pruning-tf

Implementation of "Iterative pruning" on TensorFlow

ircnn

IRCNN Image denoise

knowledge-distillation-pytorch

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility