Wapiti's Projects
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
Potential WG on Artificial Intelligence and Machine Learning (AI/ML)
The collections of source code I submitted on competitions
Algorithm game involving data structure
The collecitons and creations of algorithms for feature engineering in machine learning
The notes to learn hadoop, spark and the other components of big data
NLQ into SQL translation using computational linguistics
The collections for different platforms to apply the python crawler and scrapy to extract information and also present different scraping methods
My experience on how to download the cuckoo and set the environment successfully
after the sequence-labeling-BiLSTM-CRF, enhanced version
Some tools for security
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06
The project of Ransomware Detection with GAN
Implementation in Python for Dempster Shafer algorythm with application in predicting movies genres by reviews
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
The achievement about typical dynamic_programming algorithms in Go
Effective Python: Second Edition — Source Code and Errata for the Book
The Anomaly Detection with EllipticEnvelope Method Combined with Spark
Some experiements with Evasion Attacks
This is demo repo to demostrate how to scrape post data from Facebook by Python with library facebook_scraper. And then use Azure Text Analytics to perform sentiment analysis for post text content.
up to date simple useragent faker with real world database
My practice on federated learning ---- part of cyber trace project
The research on black_box attacks to images based on GAN model
the practice on Graph Machine Learning
Graph Machine Learning, published by Packt
the Golang versions of Graph Theory Algorithms introduced in Udemy
HySAS(Hydrogen Situation Awareness System )是一个安全态势感知系统的开发框架，用于实现多进程多数据源的实时计算。不管是在开发过程还是运行过程中，都拥有极高的并行性和扩展性。
This is a face recognition program, which can be used to alarm
One implementation of MLOPs principle to image classification system
Incremental version of DBSCAN for frequently changing datasets
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent