Pinned Repositories
adversarial
Pytorch - Adversarial Training
Adversarial-Examples-in-PyTorch
Pytorch code to generate adversarial examples on mnist and ImageNet data.
adversarial-robustness
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scutjy2015@163.com 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.
FAVAE-anomaly-detection-localization-master
This is an unofficial implementation of ' Anomaly localization by modeling perceptual features'
PaDiM-Anomaly-Detection-Localization-master
This is an unofficial implementation of the paper “PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization”.
Python-100-Days
Python - 100天从新手到大师
Reconstruction-by-inpainting-for-visual-anomaly-detection
STPM-Anomaly-Detection-Localization-master
This is an unofficial implementation of the paper “Student-Teacher Feature Pyramid Matching for Unsupervised Anomaly Detection”.
xiahaifeng1995's Repositories
xiahaifeng1995/PaDiM-Anomaly-Detection-Localization-master
This is an unofficial implementation of the paper “PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization”.
xiahaifeng1995/STPM-Anomaly-Detection-Localization-master
This is an unofficial implementation of the paper “Student-Teacher Feature Pyramid Matching for Unsupervised Anomaly Detection”.
xiahaifeng1995/adversarial-robustness
xiahaifeng1995/FAVAE-anomaly-detection-localization-master
This is an unofficial implementation of ' Anomaly localization by modeling perceptual features'
xiahaifeng1995/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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
xiahaifeng1995/Reconstruction-by-inpainting-for-visual-anomaly-detection
xiahaifeng1995/Python-100-Days
Python - 100天从新手到大师
xiahaifeng1995/Adversarial-Examples-in-PyTorch
Pytorch code to generate adversarial examples on mnist and ImageNet data.
xiahaifeng1995/DeepLearningProject
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
xiahaifeng1995/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.
xiahaifeng1995/adversarial-examples-pytorch
Implementation of Papers on Adversarial Examples
xiahaifeng1995/awesome-machine-learning-reliability
A curated list of awesome resources regarding machine learning reliability.
xiahaifeng1995/compression_papers
xiahaifeng1995/DeepRL
Highly modularized implementation of popular deep RL algorithms in PyTorch
xiahaifeng1995/DEEPSEC
DEEPSEC: A Uniform Platform for Security Analysis of Deep Learning Model
xiahaifeng1995/distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller
xiahaifeng1995/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⭐️
xiahaifeng1995/IRCNN
IRCNN Image denoise
xiahaifeng1995/L0_regularization
Learning Sparse Neural Networks through L0 regularization
xiahaifeng1995/machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
xiahaifeng1995/mayo
Mayo: Auto-generation of hardware-friendly deep neural networks.
xiahaifeng1995/MVision
机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶
xiahaifeng1995/PocketFlow
An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.
xiahaifeng1995/practicalAI
📚 A practical approach to learning and using machine learning.
xiahaifeng1995/pytorch-adversarial-training
PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.
xiahaifeng1995/pytorch-moonshine
Cheap distillation for convolutional neural networks.
xiahaifeng1995/reproducible-image-denoising-state-of-the-art
Collection of popular and reproducible image denoising works.
xiahaifeng1995/robustness
Corruption and Perturbation Robustness (ICLR 2019)
xiahaifeng1995/Teacher-Assistant-Knowledge-Distillation
Using Teacher Assistants to Improve Knowledge Distillation
xiahaifeng1995/TRADES
TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)