Pinned Repositories
1book
《Web安全之机器学习入门》
2018-QWB-CTF
2018强网杯CTF___题目整理
2book
《Web安全之深度学习实战》
3book
4book
《企业安全概论：基于开源软件打造企业安全》
AdvBox
AdvBox是一款由百度安全实验室研发，在百度大范围使用的AI模型安全工具箱，目前原生支持PaddlePaddle、PyTorch、Caffe2、MxNet、Keras以及TensorFlow平台，方便广大开发者和安全工程师可以使用自己熟悉的框架。 AdvBox同时支持GraphPipe,屏蔽了底层使用的深度学习平台，用户可以通过几个命令就可以对PaddlePaddle、PyTorch、Caffe2、MxNet、CNTK、ScikitLearn以及TensorFlow平台生成的模型文件进行黑盒攻击。
adversarial_examples
对抗样本
AI-Driven-WAF
Artificial intelligence-driven Web Firewall
AI-for-Security-Learning
安全场景、基于AI的安全算法和安全数据分析学习资料整理
Air_Pollution_Forcast_Beijing
基于Keras的LSTM多变量时间序列预测
Gu5hanl1GH7N1n's Repositories
Gu5hanl1GH7N1n/AI-for-Security-Learning
安全场景、基于AI的安全算法和安全数据分析学习资料整理
Gu5hanl1GH7N1n/autokeras
accessible AutoML for deep learning.
Gu5hanl1GH7N1n/awesome-knowledge-graph
整理知识图谱相关学习资料
Gu5hanl1GH7N1n/awesome-malware-analysis
A curated list of awesome malware analysis tools and resources.
Gu5hanl1GH7N1n/Complexnet
Complex-valued implementations of Keras layers
Gu5hanl1GH7N1n/CS-Notes
:books: Computer Science Learning Notes
Gu5hanl1GH7N1n/d2l-pytorch
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
Gu5hanl1GH7N1n/Data-Science-Competitions
Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
Gu5hanl1GH7N1n/deeplearning-models
A collection of various deep learning architectures, models, and tips
Gu5hanl1GH7N1n/gated-graph-neural-network-samples
Sample Code for Gated Graph Neural Networks
Gu5hanl1GH7N1n/keras-bert
Implementation of BERT that could load official pre-trained models for feature extraction and prediction
Gu5hanl1GH7N1n/keras-drop-block
DropBlock implemented in Keras
Gu5hanl1GH7N1n/Keras-GAN
Keras implementations of Generative Adversarial Networks.
Gu5hanl1GH7N1n/Keras-just-another-network-JANET
Keras implementation of [The unreasonable effectiveness of the forget gate](https://arxiv.org/abs/1804.04849)
Gu5hanl1GH7N1n/keras-layer-normalization
Layer normalization implemented in Keras
Gu5hanl1GH7N1n/keras-multi-head
A wrapper layer for stacking layers horizontally
Gu5hanl1GH7N1n/keras-pos-embd
Position embedding layers in Keras
Gu5hanl1GH7N1n/keras-self-attention
Attention mechanism for processing sequential data that considers the context for each timestamp.
Gu5hanl1GH7N1n/keras-targeted-dropout
Targeted dropout implemented in Keras
Gu5hanl1GH7N1n/keras-transformer
Transformer implemented in Keras
Gu5hanl1GH7N1n/NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Gu5hanl1GH7N1n/pumpkin-book
《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book
Gu5hanl1GH7N1n/pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
Gu5hanl1GH7N1n/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
Gu5hanl1GH7N1n/SmoteDE
Apply DE algorithm to smote new data.
Gu5hanl1GH7N1n/sparsely-connected-keras
Sparsely-connected layers for Keras
Gu5hanl1GH7N1n/tensorflow-windows-wheel
Tensorflow prebuilt binary for Windows
Gu5hanl1GH7N1n/text_classification
all kinds of text classification models and more with deep learning
Gu5hanl1GH7N1n/Z_knowledge_graph
Bulding kg from 0
Gu5hanl1GH7N1n/zhang2016dependency
Zhang, R., Lee, H., & Radev, D. (2016). Dependency sensitive convolutional neural networks for modeling sentences and documents. arXiv preprint arXiv:1611.02361.