irdaP's repositories
AI_Curriculum
Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
AnomalyDetection-2
Anomaly Detection with R
art-of-hacking
This repository includes resources related to ethical hacking / penetration testing, digital forensics and incident response (DFIR), vulnerability research, exploit development, reverse engineering, and more.
ATM
Auto Tune Models - A multi-user, multi-data system for model selection and tuning.
awesome-AIOps
AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star
awesome-ml-for-cybersecurity
:octocat: Machine Learning for Cyber Security
awesome-security
A collection of awesome software, libraries, documents, books, resources and cools stuffs about security.
awesome-TS-anomaly-detection
List of tools & datasets for anomaly detection on time-series data.
awesome_time_series_in_python
This curated list contains python packages for time series analysis
cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
covid-19
A collection of work related to COVID-19
data-matching-software
A list of free data matching and record linkage software.
datahub
An experimental hosted platform (GitHub-like) for organizing, managing, sharing, collaborating, and making sense of data.
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
DeepTimeSeries
A Keras-based library for analysis of time series data using deep learning algorithms.
google-cloud-4-words
The Google Cloud Developer's Cheat Sheet
kenchi
A set of python modules for anomaly detection
lime
Lime: Explaining the predictions of any machine learning classifier
loghub
A collection of system log datasets for massive log analysis
luminol
Anomaly Detection and Correlation library
nlp_papers
NLP papers applicable to financial markets
numenta_explained
This is the code for "Numenta Explained" by Siraj Raval on Youtube
pydqc
python automatic data quality check toolkit
PyNomaly
Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].
R-Net
Tensorflow Implementation of R-Net
R-NET-in-Keras
R-NET implementation in Keras.
rake-nltk
Python implementation of the Rapid Automatic Keyword Extraction algorithm using NLTK.
skope-rules
machine learning with logical rules in Python
text-analytics-with-python
Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.
Unified-Cybersecurity-Ontology
Unified Cybersecurity Ontology