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《Web安全之机器学习入门》
CNN | LSTM | NLP | IMAGE PROCESSING |MULTICLASS TEXT CLASSIFICATION | PYTHON | MACHINE LEARNING | AI
Aim was to develop a machine learning model which can analyze sentiments on twitter and to predict the winner of Lok Sabha Elections 2019. Web scraping was used for comments and then applied feature extraction, TF-IDF, Word2Vec, ANN and LSTM to improve the accuracy of model. Softmax function was used for multiclass classification. Learning curve was used to select the epochs and batch size in ANN and LSTM. Word cloud was made to select the most important features in the dataset. Random forest classification was selected as the best classifier with the help of PR curve by using micro average for average precision and recall.
pandas学习课程代码仓库
学习tensorflow
multiclass classification using LSTM
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++
Simple code tutorial for deep belief network (DBN)
A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Implementation of 《DeepDGA: Adversarially-Tuned Domain Generation and Detection》 arXiv:1610.01969
The repository that contains the algorithms for generating domain names, dictionaries of malicious domain names. Developed to research the possibility of applying machine learning and neural networks to detect and classify malicious domains.
使用LSTM模型检测DGA域名
基于lstm的DGA域名识别
A bidirectional LSTM with attention for multiclass/multilabel text classification.
FANCI is a prototype implementation of a machine learning based classification engine for non-existent domains to detect domain gernation algorithm malware traffic.
A small program to detect gibberish using a Markov Chain
the first repository
Mnist Dataset
汇总各大互联网公司容易考察的高频leetcode题🔥
A LSTM based framework for handling multiclass imbalance in DGA botnet detection
Data is taken from https://github.com/srivatsan88/YouTubeLI/blob/master/dataset/consumer_compliants.zip?raw=true
Classification, Regression, Time-Series Classification, Semi-supervised, Supervised, Active and Passive Learning, Multiclass and Multilabel SVM, LSTM and CNN
深度学习论文笔记
Models and examples built with TensorFlow
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.