gq-max Goto Github PK

followers: 4.0 following: 2.0 repos: 39.0 gists: 0.0

Type: User

Company: 西安交大

Bio: python cv ml

Location: 西安交大

gq-max's Projects

adversarial-attacks-pytorch

PyTorch implementation of adversarial attacks.

adversedrive

Attacking Vision based Perception in End-to-end Autonomous Driving Models

awesome-diffusion-models

A collection of resources and papers on Diffusion Models

awesome-face-forgery-generation-and-detection

A curated list of articles and codes related to face forgery generation and detection.

bayesian-network

It includes Naive-Bayes , Bayes-classifier and GMM

blackbox-attack

Blackbox attacks for deep neural network models

cleverhans

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

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

foolbox

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

it_book

本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）

mmgeneration

MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.

nrp

Official repository for "A Self-supervised Approach for Adversarial Robustness" (CVPR 2020--Oral)

paper-reimplement

众所周知，有些顶会论文不给代码，实验部分不写模型结构，且部分参数玄学，结果存疑，所以只能自己复现了。

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

An easy/swift-to-adapt PyTorch-Lighting template. 套壳模板，简单易用，稍改原来Pytorch代码，即可适配Lightning。You can translate your previous Pytorch code much easier using this template, and keep your freedom to edit all the functions as well. Big-project-friendly as well. No need to rewrite your config in hydra.

gq-max Goto Github PK

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