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Name: haifeng xia
Type: User
Name: haifeng xia
Type: User
Pytorch - Adversarial Training
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.
Pytorch code to generate adversarial examples on mnist and ImageNet data.
Implementation of Papers on Adversarial Examples
:file_folder: #AISecurity
A curated list of awesome resources regarding machine learning reliability.
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers https://arxiv.org/abs/1802.00124
BlockDrop: Dynamic Inference Paths in Residual Networks
Implementation of the Budgeted Super Networks
Caffe for Sparse and Low-rank Deep Neural Networks
Channel Pruning for Accelerating Very Deep Neural Networks
CondenseNet: Light weighted CNN for mobile devices
2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552
awesome deep learning papers for reinforcement learning
Recreated deep compression's pruning, quantization and huffman encoding pipeline
PyTorch Implementation of Deep Compression
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
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
Highly modularized implementation of popular deep RL algorithms in PyTorch
DEEPSEC: A Uniform Platform for Security Analysis of Deep Learning Model
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller
Dynamic Network Surgery and Incremental Network Quantisation Keras Implementations
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
This is an unofficial implementation of ' Anomaly localization by modeling perceptual features'
: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⭐️
Implementation of "Iterative pruning" on TensorFlow
IRCNN Image denoise
A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.