sungminhan15 Goto Github PK

adversarial-attacks-pytorch

PyTorch implementation of adversarial attacks.

advertorch

A Toolbox for Adversarial Robustness Research

awesome-anomaly-detection

A curated list of awesome anomaly detection resources

awesome-xai-evaluation

Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems

business-analytics-ime654-

Course homepage for "Business Analytics (IME654)" @Korea University

cas_iclr2021

contrastive-learning-nlp-papers

Paper List for Contrastive Learning for Natural Language Processing

convex-optimization-for-all.github.io

모두를 위한 컨백스 최적화

coursera-applied-data-science-with-python

Repository for coursera specialization Applied Data Science with Python by University of Michigan

cs229_notes

All of the lecture notes from CS229: Machine Learning

daf

dcgan

train/test dcgan + arithmetic

deep-learning-paper-review-and-practice

꼼꼼한 딥러닝 논문 리뷰와 코드 실습

deepbindiff

Official repository for DeepBinDiff

dimred

python, scala, and pyspark code for few dimensional reduction algorithms

fourierheatmap

Unofficial pytorch implementation of Fourier Heat Map proposed in 'A Fourier Perspective on Model Robustness in Computer Vision' [Yin+, NeurIPS2019]

gan-vae-pretrained-pytorch

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

im2recipe-pytorch

im2recipe Pytorch implementation

leetcode

LeetCode solutions in Python3

libra-cam

Libra-CAM: An Activation-Based Attribution Based on the Linear Approximation of Deep Neural Nets and Threshold Calibration

loss-landscape

Code for visualizing the loss landscape of neural nets

mlfromscratch

Machine Learning algorithm implementations from scratch.

on.the.trade-off.between.adversarial.and.backdoor.robustness

Code for "On the Trade-off between Adversarial and Backdoor Robustness" (NIPS 2020)

papers-of-robust-ml

Related papers for robust machine learning

perceptual-advex

Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

python-for-coding-test

[한빛미디어] "이것이 취업을 위한 코딩 테스트다 with 파이썬" 전체 소스코드 저장소입니다.

pytorch_gan_zoo

A mix of GAN implementations including progressive growing

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

robustness

A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.