Pinned Repositories
AdvDiffVLM
Bayesian-network
It includes Naive-Bayes , Bayes-classifier and GMM
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
dimensionality_reduction
降维作业
Lasso-and-SparseLearning
坐标下降求解Lasso以及稀疏学习
neural-network
神经网络的基础公式推导,相关作业和代码
NLP
NLP homework
pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
spam-recognition
使用SVM实现垃圾邮件识别
spectral-cluster
实现谱聚类
gq-max's Repositories
gq-max/Bayesian-network
It includes Naive-Bayes , Bayes-classifier and GMM
gq-max/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
gq-max/dimensionality_reduction
降维作业
gq-max/NLP
NLP homework
gq-max/pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
gq-max/AdvDiffVLM
gq-max/Adversarial-Attack
一些常见攻击算法的实现
gq-max/adversarial-attacks-pytorch
PyTorch implementation of adversarial attacks.
gq-max/AdverseDrive
Attacking Vision based Perception in End-to-end Autonomous Driving Models
gq-max/AI-Surveys
整理AI相关领域的一些综述
gq-max/Andrew_deep_learning
吴恩达深度学习课后作业
gq-max/Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
gq-max/Awesome-Face-Forgery-Generation-and-Detection
A curated list of articles and codes related to face forgery generation and detection.
gq-max/backdoor-learning-resources
A list of backdoor learning resources
gq-max/cleverhans
An adversarial example library for constructing attacks, building defenses, and benchmarking both
gq-max/foolbox
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
gq-max/graduationProject
本科毕业设计——基于谱方法的多视角聚类方法的研究与实现
gq-max/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.
gq-max/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)
gq-max/leetcode_simple
力扣的简单题
gq-max/Machine-Learning-Notes
周志华《机器学习》手推笔记
gq-max/mmgeneration
MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.
gq-max/NRP
Official repository for "A Self-supervised Approach for Adversarial Robustness" (CVPR 2020--Oral)
gq-max/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。
gq-max/pytorch-lightning-template
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/pytorch_examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
gq-max/Visualizer
assistant tools for attention visualization in deep learning
gq-max/Wandb_Tutorial
how to use wandb
gq-max/weekly
周报,每两周一次,命名格式为:姓名首字母加提交日期(例如:gq2022.5.12)
gq-max/xjtuthesis
使用 LaTeX 排版学位论文!适用于西安交通大学学生